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This registry exists to help people discover and share datasets that are available via AWS resources. See recent additions and learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry tagged with bioinformatics.


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The Human Sleep Project

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~15K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting. This data is being used to develop CAISR (Complete AI Sleep Report), a collection of deep neural networks, rule-based algorithms, and signal processing approaches designed to provide better-than-human detection of conventional PSG...

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CZ CELLxGENE Discover Census

bioinformaticscell biologylife sciencessingle-cell transcriptomicstranscriptomics

CZ CELLxGENE Discover (cellxgene.cziscience.com) is a free-to-use platform for the exploration, analysis, and retrieval of single-cell data. CZ CELLxGENE Discover hosts the largest aggregation of standardized single-cell data from the major human and mouse tissues, with modalities that include gene expression, chromatin accessibility, DNA methylation, and spatial transcriptomics. This year, CZ CELLxGENE Discover has made available all of its human and mouse RNA single-cell data through Census (https://chanzuckerberg.github.io/cellxgene-census/) – a free-to-use service with an API and data that...

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1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, 4.2, and 4.4

bambioinformaticsbiologycramgeneticgenomicgenotypinglife sciencesmachine learningpopulation geneticsshort read sequencingstructural variationtertiary analysisvariant annotationwhole genome sequencing

Description

Overivew

This dataset contains alignment files and small variant (includes single nucleotide variants (SNV) and indels), copy number variant (CNV), short tandem repeat (i.e., repeat expansion; STR), structural variant (SV) and other variant call files from the 1000 Genomes Project (1KGP) Phase 3 dataset (3,202 individuals, 602 trios) using Illumina DRAGEN v3.5.7b, v3.7.6, v4.0.3, v4.2.7, and v4.4.7 software. All DRAGEN analyses were performed in the cloud using the Illumina Connected Analytics bioinformatics platform powered by Amazon Web Services (see 'Data solution empowering population genomics' for more information). The v3.7.6, v4.2.7, and v4.4.7 datasets include results from trio small variant, de novo structural variant, and de novo copy number variant calls on 602 trio families comprised of members from the 1KGP Phase 3 dataset. Trio repeat expansion calling was included in the v3.7.6 dataset only. Joint cohort analysis was also performed on the entire 1KGP sample dataset for the v3.7.6, v4.0.3, v4.2.7, and v4.4.7 re-analyses using DRAGEN Iterative gVCF Genotyper v3.8.3, v4.2.0, v4.2.7, v4.4.7, respectively (see 'Genotyping variants at population scale using DRAGEN gVCF Genotyper' and 'Population Genotyping').

DRAGEN Versions

v3.7

User Guide | Release NotesImprovements and new features in the v3.7.6 individual samples analyses include CYP2D6 variant calling (see 'Overcoming high homology to detect variation in CYP21A2 with whole-genome sequencing in DRAGEN') and joint detection and use of graph-based hg19 and hg38 reference hash tables (see 'DRAGEN Wins at PrecisionFDA Truth Challenge V2 Showcase Accuracy Gains from Alt-aware Mapping and Graph Reference Genomes' and 'Demystifying the versions of GRCh38/hg38 reference genomes, how they are used in DRAGEN and their impact on accuracy' for details).

v4.0

User Guide | Release NotesThe DRAGEN v4.0.3 dataset features improved small variant calling accuracy due to utilization of a newly integrated machine learning functionality with an updated graph based reference for difficult to map regions (see 'DRAGEN Sets New Standard for Data Accuracy in PrecisionFDA Benchmark Data. Optimizing Variant Calling Performance with Illumina Machine Learning and DRAGEN Graph'); accuracy and runtime improvements in the SV caller; new targeted callers including CYP2B6, GBA, SMN and a Star Allele PGx caller; and an expanded catalog for use with Expansion Hunter STR caller.

v4.2

User Guide | Release NotesDRAGEN v4.2.7 offers significant accuracy improvements in small variant, CNV, and SV calling, includes new targeted callers (HBA, LPA, RH, CYP21A2, SMN silent carrier variant), and supports Star Allele calling for five additional pharmacogenes (BCHE, ABCG2, NAT2, F5, and UGT2B17). These are further improved by upgraded machine learning models. See DRAGEN 4.2: Enhanced machine learning, new targeted callers, and more for further details on these and other enchancements.

v4.4

User Guide | Release NotesDRAGEN v4.4.7 boosts the speed and accuracy of all callers via the official release of an optimized pangenome graph reference ('The quest for accuracy gains in the dark regions of the genomes: Presenting the DRAGEN multigenome mapper and pangenome reference updates in version 4.3'). Namely, SV calling accuracy is substantially increased via the implementation of a multigenome mapper capable of exploiting the power of a pangenome reference. Runtime is further reduced by supporting AWS F2 EC2 instances (Enabling Rapid Genomic and Multiomic Data Analysis with Illumina DRAGEN™ v4.4 on Amazon EC2 F2 Instances)

Annotation

Starting with the v4.0.3 reanalysis, annotation using the Illumina Connected Annotations (also known as Illumina Annotation Engine or Nirvana) was included as part of the analysis (see Illumina Connected Annotations documentation ...

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Genome Aggregation Database (gnomAD)

bioinformaticsgeneticgenomiclife sciencespopulationpopulation geneticsshort read sequencingwhole genome sequencing

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. The v4.1 data set (GRCh38) spans 730,947 exome sequences and 76,215 whole-genome sequences from unrelated individuals, of diverse ancestries, sequenced sequenced as part of various disease-specific and population genetic studies. The gnomAD Principal Investigators and team can be found here, and the groups that have contributed data to the current release are listed here. Sign up for the gnom...

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Usage examples

  • gnomAD v2.1 by Laurent Francioli, Grace Tiao, Konrad Karczewski, Matthew Solomonson, Nick Watts
  • The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020) by Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., Gauthier, L. D., Brand, H., Solomonson, M., Watts, N. A., Rhodes, D., Singer-Berk, M., England, E. M., Seaby, E. G., Kosmicki, J. A., ... MacArthur, D. G.
  • A genomic mutational constraint map using variation in 76,156 human genomes. Nature 625, 92–100 (2024) by Chen, S., Francioli, L. C., Goodrich, J. K., Collins, R. L., Wang, Q., Alföldi, J., Watts, N. A., Vittal, C., Gauthier, L. D., Poterba, T., Wilson, M. W., Tarasova, Y., Phu, W., Yohannes, M. T., Koenig, Z., Farjoun, Y., Banks, E., Donnelly, S., Gabriel, S., Gupta, N., Ferriera, S., Tolonen, C., Novod, S., Bergelson, L., Roazen, D., Ruano-Rubio, V., Covarrubias, M., Llanwarne, C., Petrillo, N., Wade, G., Jeandet, T., Munshi, R., Tibbetts, K., gnomAD Project Consortium, O’Donnell-Luria, A., Solomonson, M., Seed, C., Martin, A. R., Talkowski, M. E., Rehm, H. L., Daly, M. J., Tiao, G., Neale, B. M., MacArthur, D. G. & Karczewski, K. J.
  • gnomAD v3.0 by Laurent Francioli, Daniel MacArthur
  • A structural variation reference for medical and population genetics. Nature 581, 444–451 (2020) by Collins, R. L., Brand, H., Karczewski, K. J., Zhao, X., Alföldi, J., Francioli, L. C., Khera, A. V., Lowther, C., Gauthier, L. D., Wang, H., Watts, N. A., Solomonson, M., O’Donnell-Luria, A., Baumann, A., Munshi, R., Walker, M., Whelan, C., Huang, Y., Brookings, T., ... Talkowski, M. E.

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The Singapore Nanopore Expression Data Set

bambioinformaticsfast5fastafastqgenomiclife scienceslong read sequencingshort read sequencingtranscriptomics

The Singapore Nanopore Expression (SG-NEx) project is an international collaboration to generate reference transcriptomes and a comprehensive benchmark data set for long read Nanopore RNA-Seq. Transcriptome profiling is done using PCR-cDNA sequencing (PCR-cDNA), amplification-free cDNA sequencing (direct cDNA), direct sequencing of native RNA (direct RNA), and short read RNA-Seq. The SG-NEx core data includes 5 of the most commonly used cell lines and it is extended with additional cell lines and samples that cover a broad range of human tissues. All core samples are sequenced with at least 3 ...

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Open Targets

bioinformaticsbiologydrug discoverygeneticgenomiclife sciencesprotein

The Open Targets Platform is a comprehensive data integration tool that supports systematic identification and prioritisation of potential therapeutic drug targets. By integrating publicly available datasets including data generated by the Open Targets experimental and informatics research programmes, the Platform provides data and services to assist in the task of therapeutic hypothesis building.

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The Cancer Dependency Map (DepMap) Cancer Cell Line Encyclopedia (CCLE) Dataset

bambioinformaticsbiologycancergeneticgenomicHomo sapienslife sciencesshort read sequencingtranscriptomicswhole exome sequencingwhole genome sequencing

This dataset consists of whole genome sequencing (WGS), whole exome sequencing (WES), and RNA sequencing files generated from ~1000 cancer cell lines described in Ghandi et al., 2019.

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Alliance of Genome Resources

bioinformaticsbiologyCaenorhabditis elegansDanio rerioDrosophila melanogasterfastagene expressiongeneticgenomegenomicHomo sapienslife sciencesMus musculusproteinRattus norvegicustranscriptomicsvcf

The Alliance of Genome Resources is a consortium that integrates genomic, genetic, and molecular data from leading model organism databases including Drosophila melanogaster, Caenorhabditis elegans, Danio rerio (zebrafish), Mus musculus (mouse), Rattus norvegicus (rat), Saccharomyces cerevisiae (yeast), Xenopus laevis and Xenopus tropicalis (frogs), and human reference data. The Alliance provides comprehensive datasets including gene annotations, disease associations, expression data (bulk and single-cell RNA-Seq), protein and genetic interactions, orthology relationships, variants and alleles...

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Garvan Institute Long Read Sequencing Benchmark Data

bioinformaticsgenomiclife scienceslong read sequencing

The dataset contains reference samples that will be useful for benchmarking and comparing bioinformatics tools for genome analysis. Examples include: NA12878 (HG001) and NA24385 (HG002) sequenced on an Oxford Nanopore Technologies (ONT) PromethION using the latest R10.4.1 flowcells; and, UHR RNA (direct-RNA) on an ONT PromethION using the latest RNA004 flowcells. Raw signal data output by the sequencer is provided for these datasets in BLOW5 format, and can be rebasecalled when basecalling software updates bring accuracy and feature improvements over the years. Raw signal data is not only for ...

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PubSeq - Public Sequence Resource

bambioinformaticsbiologycoronavirusCOVID-19fast5fastafastqgeneticgenomichealthjsonlife scienceslong read sequencingmedicineMERSmetadataopen source softwareRDFSARSSARS-CoV-2SPARQL

COVID-19 PubSeq is a free and open online bioinformatics public sequence resource with on-the-fly analysis of sequenced SARS-CoV-2 samples that allows for a quick turnaround in identification of new virus strains. PubSeq allows anyone to upload sequence material in the form of FASTA or FASTQ files with accompanying metadata through the web interface or REST API.

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Steinegger Lab Datasets

bioinformaticslife sciencesmetagenomicsopen source softwareproteinprotein folding

The Steinegger Lab Dataset comprises biological databases and resources critical for protein sequence and structure analysis, developed to support ColabFold, MMseqs2, and Foldseek/Foldcomp—three high-performance computational tools widely used in bioinformatics.The MMseqs2 dataset serves as the backbone for our fast structure prediction tool, ColabFold, and includes UniRef30, BFD, and the ColabFold environmental databases. These datasets are specifically designed for the rapid generation of multiple sequence alignments (MSAs), which are essential for high-accuracy structure prediction. Beyond ...

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NIH Roadmap Epigenomics

bioinformaticsbiologyepigenomicsgeneticgenomiclife sciences

The NIH Roadmap Epigenomics Mapping Consortium was launched with the goal of producing a public resource of human epigenomic data to catalyze basic biology and disease-oriented research. The project has generated high-quality, genome-wide maps of several key histone modifications, chromatin accessibility, DNA methylation and mRNA expression across 100s of human cell types and tissues. To see what data is available, please check the directory listing: https://roadmapepigenomics.s3.us-west-2.amazonaws.com/index.html.

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Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription (TaRGET)

bioinformaticsbiologyenvironmentalepigenomicsgeneticgenomiclife sciences

The TaRGET (Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription) Program is a research consortium funded by the National Institute of Environmental Health Sciences (NIEHS). The goal of the collaboration is to address the role of environmental exposures in disease pathogenesis as a function of epigenome perturbation, including understanding the environmental control of epigenetic mechanisms and assessing the utility of surrogate tissue analysis in mouse models of disease-relevant environmental exposures.

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U.S. Environmental Protection Agency (EPA) Center for Computational Toxicology and Exposure High Throughput Transcriptomics Data

bioinformaticsfastqgene expressiontranscriptomics

High-throughput transcriptomics (HTTr) data generated by US EPA Office of Research and Development, Center for Computational Toxicology and Exposure (CCTE), Biomolecular and Computational Toxicology Division. All data is generated using TempO-Seq targeted RNA-seq technology from in vitro cell culture systems.

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SnpEff & SnpSift Genomic Variant Annotation Databases

bioinformaticscancergeneticgenomegenomiclife sciencesproteinstructural variationtranscriptomicsvariant annotationvcfwhole exome sequencingwhole genome sequencing

SnpEff is a variant annotation and effect prediction tool that annotates and predicts the effects of genetic variants on genes and proteins (such as amino acid changes). It supports over 38,000 genomes and provides comprehensive genomic databases for variant annotation. The databases include reference genomes, gene annotations, protein sequences, and regulatory elements from trusted sources like ENSEMBL, RefSeq, and UCSC. SnpSift complements SnpEff by providing tools to annotate genomic variants using databases, filter large genomic datasets, and manipulate annotated variants. Together, these ...

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Open Bioinformatics Reference Data for Galaxy

bioinformaticsbiologygeneticgenomiclife sciencesreference index

This dataset provides genomic reference data and software packages for use with Galaxy and Bioconductor applications. The reference data is available for hundreds of reference genomes and has been formatted for use with a variety of tools. The available configuration files make this data easily incorporable with a local Galaxy server without additional data preparation. Additionally, Bioconductor's AnnotationHub and ExperimentHub data are provided for use via R packag...

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Caenorabditis Diversity Natural Resource

bambioinformaticsbiologyCaenorhabditis elegansfastqgatk-svgenetic mapsgenomegenome wide association studygenomiclife sciencesshort read sequencingvariant annotationvcf

The Caenorhabditis Natural Diversity Resource (CaeNDR) is a data repository and analysis hub of wild strains of selfing Caenhorabditis species C. elegans, C. briggsae, and C. tropicalis from around the world to facilitate discovery of genetic variation across all three species through genome-wide association mappings to correlate genotype with phenotype and identify genetic variation underlying quantitative traits.

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Protein Data Bank 3D Structural Biology Data

amino acidarchivesbioinformaticsbiomolecular modelingcell biologychemical biologyCOVID-19electron microscopyelectron tomographyenzymelife sciencesmoleculenuclear magnetic resonancepharmaceuticalproteinprotein templateSARS-CoV-2structural biologyx-ray crystallography

The "Protein Data Bank (PDB) archive" was established in 1971 as the first open-access digital data archive in biology. It is a collection of three-dimensional (3D) atomic-level structures of biological macromolecules (i.e., proteins, DNA, and RNA) and their complexes with one another and various small-molecule ligands (e.g., US FDA approved drugs, enzyme co-factors). For each PDB entry (unique identifier: 1abc or PDB_0000001abc) multiple data files contain information about the 3D atomic coordinates, sequences of biological macromolecules, information about any small molecules/ligan...

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SPARC: Datasets bridging the body and the brain

bioinformaticselectrophysiologylife sciencesmicroscopyneurophysiologyneuroscience

The SPARC Datasets comprise a collection of scientific data that is focused on bridging the body and the brain. The datasets focus on neural connectivity, organ innervation and detailed anatomical mapping of the peripheral nervous system. SPARC datasets distinguish themselves from other data resources through its multi-modal approach to scientific data and integrates molecular, imaging, timeseries and other datatypes associated with the interaction between the peripheral nervous system and organs. SPARC data provides a unique integrated effort to develop next generation mapping of anatomical ...

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BUSCO Datasets

assemblybacteriabioinformaticsgenomiclife sciencesmetagenomicsopen source softwareproteinvirus

Lineage datasets for use with BUSCO software package. Each dataset contains HMM profiles for clade specific, universal, single-copy marker genes. Datasets are available across archaea, bacteria, eukaryota and virus domains. The repository also includes necessary data files for phylogenetic placement of an input assembly.

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Basic Local Alignment Sequences Tool (BLAST) Databases

bioinformaticsbiologygeneticgenomichealthlife sciencesproteinreference indextranscriptomics

A centralized repository of pre-formatted BLAST databases created by the National Center for Biotechnology Information (NCBI).

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Encyclopedia of DNA Elements (ENCODE)

bioinformaticsbiologygeneticgenomiclife sciences

The Encyclopedia of DNA Elements (ENCODE) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome, including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a ...

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Epigenomes of the Human Pangenome Reference Consortium (HPRC) Release 2

bioinformaticsbiologyepigenomicsgeneticgenomiclife sciences

The Human Pangenome Reference Consortium (HPRC) Release 2 represents a landmark achievement in genomics, providing high-quality phased genome assemblies from over 200 individuals with comprehensive functional genomics data. The HPRC Epigenome Browser provides researchers a way to explore all epigenomics data generated by release 2. The HPRC Epigenome Browser (HPRCEB) is a modern, interactive web portal that democratizes access to HPRC Release 2 epigenomics data through an intuitive interface supporting genome selection, data visualization, and bulk download capabilities. The portal integrates ...

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Epilepsy.Science

bioinformaticselectrophysiologylife sciencesmedicineneuroscience

Epilepsy.Science comprise a set of datasets focused on Epilepsy Research that span both Clinical Data and Pre-clinical data. Datasets are contributed by the Epilepsy Research community and published using a standardized structure and metadata. Clinical datasets include de-identified subject information, EEG, and clinical imaging.

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Refgenie reference genome assets

bioinformaticsbiologygeneticgenomicinfrastructurelife sciencessingle-cell transcriptomicstranscriptomicswhole genome sequencing

Pre-built refgenie reference genome data assets used for aligning and analyzing DNA sequence data.

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Synthea synthetic patient generator data in OMOP Common Data Model

bioinformaticshealthlife sciencesnatural language processingus

The Synthea generated data is provided here as a 1,000 person (1k), 100,000 person (100k), and 2,800,000 persom (2.8m) data sets in the OMOP Common Data Model format. SyntheaTM is a synthetic patient generator that models the medical history of synthetic patients. Our mission is to output high-quality synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions. It can be used without restriction for a variety of secondary uses in academia, research, industry, and gov...

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The Impact of Variation on Function Consortium (IGVF)

bioinformaticsbiologygeneticgenomiclife sciences

The IGVF (Impact of Genomic Variation on Function) Consortium aims to understand how genomic variation affects genome function, which in turn impacts phenotype. The NHGRI is funding this collaborative program that brings together teams of investigators who will use state-of-the-art experimental and computational approaches to model, predict, characterize and map genome function, how genome function shapes phenotype, and how these processes are affected by genomic variation. These joint efforts will produce a catalog of the impact of genomic variants on genome function and phenotypes.
The Data Corpus consists of single-cell Genomics experiments (both single modal, and multimodal, typically snRNA-seq and snATAC-seq), Characterization experiments using Massively Parallel Reporter Assays (MPRAs) and CRISPR-screens along with a variety of protein mutatation assays, and Predictive Models. There are a huge variety of files in IGVF that are stored in the AWS OpenData Set so we recommend using the metadata file or browsing the IGVF D...

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CZ Grand Challenges - Imaging MIT Licensed data and models

biodiversitybioinformaticsbiologybiomolecular modelingbrain imagescell biologycell imagingcziimaginglife sciencesmachine learningmicroscopymodelproteinzarr

This dataset contains a diverse range of imaging biological data and models. The data is sourced and curated by a team of experts at CZI and is made available as part of these datasets only when it is not publicly accessible or requires transformations to support model training.

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DeepDrug Protein Embeddings Bank (DPEB)

bioinformaticslife sciencesmachine learningproteinstructural biology

DPEB is a multimodal database of human protein embeddings integrating four biologically complementary representations—AlphaFold2, BioEmbeddings, ESM-2, and ProtVec—designed for enhanced protein-protein interaction prediction and functional classification.

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I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.

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Kraken2 NCBI RefSeq Complete V205 database on AWS

benchmarkbioinformaticslife sciencesmetagenomicsmicrobiome

Database for use with Kraken2 (taxonomic annotation of metagenomic sequencing reads) including all NCBI RefSeq genomes available in release V205

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MIMIC-III (‘Medical Information Mart for Intensive Care’)

bioinformaticshealthlife sciencesnatural language processingus

MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework. The MIMIC-I...

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NASA Space Biology Open Science Data Repository (OSDR)

bioinformaticsbiologyGeneLabgenomicimaginglife sciencesspace biology

NASA’s Space Biology Open Science Data Repository (OSDR) introduces a one-stop site where users can explore and contribute a variety of NASA open science biological data. This site consolidates data from the Ames Life Sciences Data Archive (ALSDA) and GeneLab and includes information about the broader NASA Open Science and Open Data initiatives, all at one centralized location. Our mission is to maximize the utilization of the valuable biological research resources and enable new discoveries.

OSDR introduces access to data generated from spaceflight and space relevant experiments that explore
...

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ONT Methylation Benchmarking Datasets

bambenchmarkbioinformaticsepigenomicsgenomiclife scienceslong read sequencing

ONT Methylation Benchmarking Datasets are generated to benchmark existing methylation-calling tools on the Oxford Nanopore sequencing platform using their recent R10.4.1 flowcell chemistry. It spans a diverse range of species, including bacteria (E. coli, H. pylori J99, H. pylori 26695, A. variabilis, T. denticola), plants (Rice, Arabidopsis), and mammals (mouse, human).In addition, the dataset includes EMSeq data for E. coli, plant, and mouse samples, which can serve as ground truth for methylation studies. It also provides unmethylated whole-genome amplified (WGA) DNA for H. pylori 26695 and...

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Open Human Genome Library

bioinformaticsbiologygenomiclife sciences

The Open Human Genome Library (OpenHGL) is a collection of high-quality de novo human assemblies that are publicly available in genomic databases (e.g. NCBI and CNCB) or from individual research papers. It provides consistent naming and uniform formats across datasets, supporting efficient subsequence retrieval and approximate string search.

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ProteinGym

bioinformaticsbiologydeep learninglife sciencesmachine learningprotein

ProteinGym is a benchmark suite for assessing the performance of protein fitness prediction and design models. It comprises a large curated collection of 200+ high-throughput experimental assays (~3M mutated sequences), as well as clinical annotations from experts about the pathogenicity of mutants in over 3k human genes.

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QIIME 2 Tutorial Data

bioinformaticsbiologyecosystemsenvironmentalgeneticgenomichealthlife sciencesmetagenomicsmicrobiome

QIIME 2 (pronounced “chime two”) is a microbiome multi-omics bioinformatics and data science platform that is trusted, free, open source, extensible, and community developed and supported.

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SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The IIIC dataset includes 50,697 labeled EEG samples from 2,711 patients' and 6,095 EEGs that were annotated by physician experts from 18 institutions. These samples were used to train SPaRCNet (Seizures, Periodic and Rhythmic Continuum patterns Deep Neural Network), a computer program that classifies IIIC events with an accuracy matching clinical experts.

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run_dbcan CAZyme and CGC annotation database on AWS

benchmarkbioinformaticslife sciencesmetagenomicsmicrobiome

Database for use with run_dbcan (CAZyme and CGC annotation), including CAZyme, Transporter, Transcription factor, Signaling Transduction Protein, Sulfatase, Peptidase, and Polysaccharide utilization Loci.

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4D Nucleome (4DN)

bioinformaticsbiologygeneticgenomicimaginglife sciences

The goal of the National Institutes of Health (NIH) Common Fund’s 4D Nucleome (4DN) program is to study the three-dimensional organization of the nucleus in space and time (the 4th dimension). The nucleus of a cell contains DNA, the genetic “blueprint” that encodes all of the genes a living organism uses to produce proteins needed to carry out life-sustaining cellular functions. Understanding the conformation of the nuclear DNA and how it is maintained or changes in response to environmental and cellular cues over time will provide insights into basic biology as well as aspects of human health...

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Biodiversity Heritage Library Metadata and Page Images

biodiversitybioinformaticslife sciences

The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. BHL operates as a worldwide consortium of natural history, botanical, research, and national libraries working together to digitize the natural history literature held in their collections and make it freely available for open access.

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Broad Genome References

bioinformaticsbiologycancergeneticgenomicHomo sapienslife sciencesreference index

Broad maintained human genome reference builds hg19/hg38 and decoy references.

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COVID-19 Data Lake

amazon.sciencebioinformaticsbiologycoronavirusCOVID-19healthlife sciencesmedicineMERSSARS

A centralized repository of up-to-date and curated datasets on or related to the spread and characteristics of the novel corona virus (SARS-CoV-2) and its associated illness, COVID-19. Globally, there are several efforts underway to gather this data, and we are working with partners to make this crucial data freely available and keep it up-to-date. Hosted on the AWS cloud, we have seeded our curated data lake with COVID-19 case tracking data from Johns Hopkins and The New York Times, hospital bed availability from Definitive Healthcare, and over 45,000 research articles about COVID-19 and rela...

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Cloud Indexes for Bowtie, Kraken, HISAT, and Centrifuge

bioinformaticsbiologygenomiclife sciencesmappingmedicinereference indexwhole genome sequencing

Genomic tools use reference databases as indexes to operate quickly and efficiently, analogous to how web search engines use indexes for fast querying. Here, we aggregate genomic, pan-genomic and metagenomic indexes for analysis of sequencing data.

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DNAStack COVID19 SRA Data

bambioinformaticscoronavirusCOVID-19fastafastqgeneticgenomicglobalhealthlife scienceslong read sequencingSARS-CoV-2vcfviruswhole genome sequencing

The Sequence Read Archive (SRA) is the primary archive of high-throughput sequencing data, hosted by the National Institutes of Health (NIH). The SRA represents the largest publicly available repository of SARS-CoV-2 sequencing data. This dataset was created by DNAstack using SARS-CoV-2 sequencing data sourced from the SRA. Where possible, raw sequence data were processed by DNAstack through a unified bioinformatics pipeline to produce genome assemblies and variant calls. The use of a standardized workflow to produce this harmonized dataset allows public data generated using different methodol...

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E11bio PRISM

bioinformaticsbiologybrain imagescell imagingcomputer visionfluorescence imaginghigh-throughput imagingimage processingimagingion channelslife sciencesmachine learningmicroscopymorphological reconstructionsMus musculusneurobiologyneuroimagingneuroscienceproteinsegmentationzarr

This dataset was generated using E11.bio's PRISM technology (Protein Reconstruction and Identification through Multiplexing), a platform that combines viral barcoding, expansion microscopy, and iterative immunolabeling for large-scale neuronal reconstruction.Neurons in the mouse hippocampal CA3 were transduced with a library of adeno-associated viruses (AAVs) encoding diverse “protein bits”—small epitope tags that act as combinatorial barcodes. Tissue was then processed with an expansion microscopy protocol, physically enlarging the sample ~5× to achieve an effective voxel size of ~35 × 3...

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EMBER Open Datasets

activity detectionactivity recognitionanalyticsbioinformaticsbrain imagesbrain modelscloud computingcomputer visiondeep learningelectrophysiologyGPSh5hdf5Homo sapiensjsonlife scienceslocalizationmachine learningmagnetic resonance imagingMus musculusneurobiologyneuroimagingneurophysiologyneurosciencenon-human primatesignal processingspeech processingzarr

This is data from, Ecosystem for Multi-modal Brain-behavior Experimentation and Research (EMBER), It contains time series behavioral and neuroscience data from animal and deidentified human subjects across multiple modalities.

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Emory Knee Radiograph (MRKR) dataset

bioinformaticsbiologycomputer visioncsvhealthimaginglabeledlife sciencesmachine learningmedical image computingmedical imagingradiologyx-ray

The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinical information, including patient- reported pain scores, diagnostic codes, and procedural codes, which are not commonly available in similar datasets. The MRKR dataset also features imaging metadata such as image laterality, view type, and presence of hardware, enhancing its value for research and model development. MRKR addresses significant gaps ...

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GATK Structural Variation (SV) Data

bioinformaticsbiologycromwellgatk-svgeneticgenomiclife sciencesstructural variation

This dataset holds the data needed to run a structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data in AWS.

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Harvard Electroencephalography Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The Harvard EEG Database will encompass data gathered from four hospitals affiliated with Harvard University:Massachusetts General Hospital (MGH), Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center (BIDMC), and Boston Children's Hospital (BCH).

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Harvard-Emory ECG Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The Harvard-Emory ECG database (HEEDB) is a large collection of 12-lead electrocardiography (ECG) recordings, prepared through a collaboration between Harvard University and Emory University investigators.

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Indexes for Kaiju

bioinformaticsbiologygenomiclife sciencesmetagenomicsmicrobiomereference indexwhole genome sequencing

This dataset comprises pre-built indexes for the bioinformatics software Kaiju, which is used for taxonomic classification of metagenomic sequencing data. Various indexes for different source reference databases are available.

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RNA structure by fragmentation frequency

bioinformaticsgenomiclife sciencestranscriptomics

The fragSTRUC project devises a software to extract RNA secondary structure information from Illumina datasets, based on divalent ions in standard RNA-seq library preparation fragmenting sequences at non-base-paired regions of RNA.

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Reference Indexes for krepp

bioinformaticslife sciencesmetagenomicsmicrobiomereference index

krepp is an alignment-free method for estimating distances and phylogenetic placement of individual reads to many thousands of reference genomes in a scalable manner using k-mers. This dataset includes k-mer-based indexes consisting of ultra-large reference genome sets that can be efficiently analyzed using krepp.

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Somatic Mosaicism across Human Tissues (SMaHT)

bambioinformaticsbiologygeneticgenomicimaginglife scienceswhole genome sequencing

The Somatic Mosaicism across Human Tissues (SMaHT) project is an NIH Common Fund consortium (2023-) aimed to comprehensively characterize somatic variation ("mosaicism") in normal human tissues. While most genetic studies have relied on blood-derived DNA, SMaHT captures the full spectrum of DNA variation across cell types, tissues, and organs from phenotypically normal individuals to better understand the role of somatic mosaicism in human development, aging, and disease progression.Researchers in the consortium develop and apply experimental and computational methods, paired with th...

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UniProt

bioinformaticsbiologychemistryenzymegraphlife sciencesmoleculeproteinRDFSPARQL

The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt databases are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), and the UniProt Archive (UniParc). The UniProt consortium and host institutions EMBL-EBI, SIB Swiss Institute of Bioinformatics and PIR are committed to the long-term preservation of the UniProt databases.

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CMS 2008-2010 Data Entrepreneurs’ Synthetic Public Use File (DE-SynPUF) in OMOP Common Data Model

amazon.sciencebioinformaticshealthlife sciencesnatural language processingus

DE-SynPUF is provided here as a 1,000 person (1k), 100,000 person (100k), and 2,300,000 persom (2.3m) data sets in the OMOP Common Data Model format. The DE-SynPUF was created with the goal of providing a realistic set of claims data in the public domain while providing the very highest degree of protection to the Medicare beneficiaries’ protected health information. The purposes of the DE-SynPUF are to:

  1. allow data entrepreneurs to develop and create software and applications that may eventually be applied to actual CMS claims data;
  2. train researchers on the use and complexity of conducting analyses with CMS claims data prior to initiating the process to obtain access to actual CMS data; and,
  3. support safe data mining innovations that may reveal unan...

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COVID-19 Genome Sequence Dataset

bambioinformaticsbiologycoronavirusCOVID-19cramfastqgeneticgenomichealthlife sciencesMERSSARSSTRIDEStranscriptomicsviruswhole genome sequencing

This repository within the ACTIV TRACE initiative houses a comprehensive collection of datasets related to SARS-CoV-2. The processing of SARS-CoV-2 Sequence Read Archive (SRA) files has been optimized to identify genetic variations in viral samples. This information is then presented in the Variant Call Format (VCF). Each VCF file corresponds to the SRA parent-run's accession ID. Additionally, the data is available in the parquet format, making it easier to search and filter using the Amazon Athena Service. The SARS-CoV-2 Variant Calling Pipeline is designed to handle new data every six ho...

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Conformational Space of Short Peptides

amino acidbioinformaticsbiomolecular modelinglife sciencesmolecular dynamicsproteinstructural biology

Co-managed by Toyoko and the Structural Biology Group at the Universidad Nacional de Quilmes, this dataset allows us to explore the conformational space of all possible peptides using the 20 common amino acids. It consists of a collection of exhaustive molecular dynamics simulations of tripeptides and pentapeptides.

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Global Biodiversity Information Facility (GBIF) Species Occurrences

biodiversitybioinformaticsconservationearth observationlife sciences

The Global Biodiversity Information Facility (GBIF) is an international network and data infrastructure funded by the world's governments providing global data that document the occurrence of species. GBIF currently integrates datasets documenting over 1.6 billion species occurrences, growing daily. The GBIF occurrence dataset combines data from a wide array of sources including specimen-related data from natural history museums, observations from citizen science networks and environment recording schemes. While these data are constantly changing at GBIF.org, periodic snapshots are taken a...

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LongBench - cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches

bambenchmarkbioinformaticscancerfastqlife scienceslong read sequencingshort read sequencingsingle-cell transcriptomicsvcf

LongBench is a comprehensive benchmark dataset of the latest long-read transcriptomics technologies from Oxford Nanopore (ON) and Pacific Biosciences, alongside a comparison with next-generation sequencing from Illumina. We generated bulk and single-cell libraries from lung cancer cell lines which include different cancer subtypes to capture real biological variation. To further compare and assess sequencing platform performance, Sequins and SIRVs (Set 4) synthetic spike-ins have been included.

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Oxford Nanopore Technologies Benchmark Datasets

bioinformaticsbiologyfast5fastqgenomicHomo sapienslife scienceswhole genome sequencing

The ont-open-data registry provides reference sequencing data from Oxford Nanopore Technologies to support, 1) Exploration of the characteristics of nanopore sequence data. 2) Assessment and reproduction of performance benchmarks 3) Development of tools and methods. The data deposited showcases DNA sequences from a representative subset of sequencing chemistries. The datasets correspond to publicly-available reference samples (e.g. Genome In A Bottle reference cell lines). Raw data are provided with metadata and scripts to describe sample and data provenance.

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Synthea Coherent Data Set

bioinformaticscsvdicomgenomichealthimaginglife sciencesmedicine

This is a synthetic data set that includes FHIR resources, DICOM images, genomic data, physiological data (i.e., ECGs), and simple clinical notes. FHIR links all the data types together.

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recount3

bioinformaticsbiologycancercsvgene expressiongeneticgenomicHomo sapienslife sciencesMus musculusneurosciencetranscriptomics

recount3 is an online resource consisting of RNA-seq gene, exon, and exon-exon junction counts as well as coverage bigWig files for 8,679 and 10,088 different studies for human and mouse respectively. It is the third generation of the ReCount project and part of recount.bio. recount2 is also included for historical purposes. The pipeline used to generate the data in recount3 (but not recount2) is available here.

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BioLiP

bioinformaticschemistrylife sciencesmolecular dockingmoleculeproteinstructural biology

BioLiP is a semi-manually curated database for high-quality, biologically relevant ligand-protein binding interactions. The structure data are collected primarily from the Protein Data Bank (PDB), with biological insights mined from literature and other specific databases. BioLiP aims to construct the most comprehensive and accurate database for serving the needs of ligand-protein docking, virtual ligand screening and protein function annotation.

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COVID-19 Molecular Structure and Therapeutics Hub

bioinformaticsbiologycoronavirusCOVID-19life sciencesmolecular dockingpharmaceutical

Aggregating critical information to accelerate drug discovery for the molecular modeling and simulation community. A community-driven data repository and curation service for molecular structures, models, therapeutics, and simulations related to computational research related to therapeutic opportunities for COVID-19 (caused by the SARS-CoV-2 coronavirus).

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CZ Grand Challenges - Imaging BSD licensed data and models

biodiversitybioinformaticsbiologybiomolecular modelingbrain imagescell biologycell imagingcziimaginglife sciencesmachine learningmicroscopymodelproteinzarr

This dataset contains a diverse range of imaging biological data and models. The data is sourced and curated by a team of experts at CZI and is made available as part of these datasets only when it is not publicly accessible or requires transformations to support model training.

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CartoStore

bioinformaticsgenomiclife sciencesspatial omicsspatial transcriptomics

Cross-Platform Repository for High-resolution Spatial Transcriptomics Datasets.

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GATK Test Data

bioinformaticsbiologycancergeneticgenomiclife sciences

The GATK test data resource bundle is a collection of files for resequencing human genomic data with the Broad Institute's Genome Analysis Toolkit (GATK).

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GX database for NCBI Foreign Contamination Screen (FCS) Tool Suite

assemblybioinformaticsbiologycontaminationfastageneticgenomehealthlife scienceswhole genome sequencing

Sequence database used by FCS-GX (Foreign Contamination Screen - Genome Cross-species aligner) to detect contamination from foreign organisms in genome sequences.

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Genome Ark

biodiversitybioinformaticsbiologyconservationgeneticgenomiclife sciences

The Genome Ark hosts genomic information for the Vertebrate Genomes Project (VGP) and other related projects. The VGP is an international collaboration that aims to generate complete and near error-free reference genomes for all extant vertebrate species. These genomes will be used to address fundamental questions in biology and disease, to identify species most genetically at risk for extinction, and to preserve genetic information of life.

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InRad COVID-19 X-Ray and CT Scans

bioinformaticscoronavirusCOVID-19healthlife sciencesmedicineSARS

This dataset is a collection of anonymized thoracic radiographs (X-Rays) and computed tomography (CT) scans of patients with suspected COVID-19. Images are acommpanied by a positive or negative diagnosis for SARS-CoV2 infection via RT-PCR. These images were provided by Hospital das Clínicas da Universidade de São Paulo, Hospital Sirio-Libanes, and by Laboratory Fleury.

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MetaGraph Sequence Indexes

analysis ready databiodiversitybioinformaticsbiologyfastagenomegenomicgraphinformation retrievallife sciencesmedicinemetagenomicsmicrobiometranscriptomicswhole exome sequencingwhole genome sequencing

The MetaGraph Sequence Indexes dataset comprises full-text searchable index files for raw sequencing data hosted in major public repositories. These include the European Nucleotide Archive (ENA) managed by the European Bioinformatics Institute (EMBL-EBI), the Sequence Read Archive (SRA) maintained by the National Center for Biotechnology Information (NCBI), and the DNA Data Bank of Japan (DDBJ) Sequence Read Archive (DRA).All index files can be used with the MetaGraph framework for sequence search. Indexes can be jointly used for aggregated search in the cloud or can be individually downloaded...

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Metagenomic reference libraries for Slacken

bioinformaticsbiologygenomiclife sciencesmetagenomicsmicrobiome

Metagenomic indexes for use with the Slacken taxonomic classification tool

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SocialGene RefSeq Databases

amino acidbioinformaticschemical biologygenomicgraphmetagenomicsmicrobiomepharmaceuticalprotein

Precomputed SocialGene Neo4j graph databases of various sizes built from RefSeq genomes and MIBiG BGCs.

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UCSC Genome Browser Sequence and Annotations

bioinformaticsbiologygeneticgenomiclife sciences

The UCSC Genome Browser is an online graphical viewer for genomes, a genome browser, hosted by the University of California, Santa Cruz (UCSC). The interactive website offers access to genome sequence data from a variety of vertebrate and invertebrate species and major model organisms, integrated with a large collection of aligned annotations. This dataset is a copy of the MySQL tables in MyISAM binary and tab-sep format and all binary files in custom formats, sometimes referred as 'gbdb'-files. Data from the UCSC Genome Browser is free and open for use by anyone. However, every genome...

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University of British Columbia Sunflower Genome Dataset

agriculturebiodiversitybioinformaticsbiologyfood securitygeneticgenomiclife scienceswhole genome sequencing

This dataset captures Sunflower's genetic diversity originating from thousands of wild, cultivated, and landrace sunflower individuals distributed across North America.The data consists of raw sequences and associated botanical metadata, aligned sequences (to three different reference genomes), and sets of SNPs computed across several cohorts.

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iNaturalist Licensed Observation Images

biodiversitybioinformaticsconservationearth observationlife sciences

iNaturalist is a community science effort in which participants share observations of living organisms that they encounter and document with photographic evidence, location, and date. The community works together reviewing these images to identify these observations to species. This collection represents the licensed images accompanying iNaturalist observations.

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Platinum Pedigree

bioinformaticsgenomicgenotypingHomo sapienslife scienceslong read sequencingwhole genome sequencing

The Platinum Pedigree Consortium (PCC) is a collaborative project to create a comprehensive reference for human genetic variation using a four-generation, 28-member family (CEPH-1463). We employed five different short and long-read sequencing technologies to generate phased assemblies and characterize both inherited and de novo variation, including at some of the most difficult to genotype genomic regions such as tandem repeats, centromeres, and the Y chromosome. This extensive "truth set" is publicly available and can be used to test and benchmark new algorithms and technologies to ...

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AllTheBacteria

assemblybacteriabioinformaticsfastagenomiclife sciencesmicrobial genomicsshort read sequencingwhole genome sequencing

All bacterial isolate whole-genome sequencing data from INSDC, uniformly assembled, quality-controlled, annotated, and searchable.

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Google Brain Genomics Sequencing Dataset for Benchmarking and Development

amazon.sciencebioinformaticsfastqgeneticgenomiclife scienceslong read sequencingshort read sequencingwhole exome sequencingwhole genome sequencing

To facilitate benchmarking and development, the Google Brain group has sequenced 9 human samples covering the Genome in a Bottle truth sets on different sequencing instruments, sequencing modalities (Illumina short read and Pacific BioSciences long read), sample preparation protocols, and for whole genome and whole exome capture. The original source of these data are gs://google-brain-genomics-public.

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OceanOmics

biodiversitybioinformaticsbiologyconservationgeneticgenomiclife sciences

Minderoo Foundation OceanOmics aims to establish environmental DNA (eDNA) as a tool to measure, understand, and protect oceans. OceanOmics mainly generates two types of data: eDNA sequencing data (metabarcoding, metagenomics), and genome assembly data (marine vertebrates).

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