Usage examples for all datasets listed in the Registry of Open Data on AWS tagged with bioinformatics.
Tools & Applications
Publications
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A cost-effectiveness analysis of nasal surgery to increase CPAP compliance in sleep apnea patients with nasal obstruction. The Laryngoscope. 2017 Apr;127(4):977-983. PMCID: PMC5483184. by Kempfle J, Westover MB, Bianchi MT.
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A Systematic Review and Meta-Analysis Examining the Impact of Sleep Disturbance on Postoperative Delirium. Critical Care Medicine. 2018 Dec;46(12):e1204-e1212. PMCID: PMC6274586. by Fadayomi AB, Ibala R, Bilotta F, Westover MB, Akeju O.
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Age estimation from sleep studies using deep learning predicts life expectancy. NPJ Digit Med. 2022 Jul 22;5(1):103. doi: 10.1038/s41746-022-00630-9. PMCID: PMC9307657. by Brink-Kjaer A, Leary EB, Sun H, Westover MB, Stone KL, Peppard PE, et al.
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Algorithm for automatic detection of self-similarity and prediction of residual central respiratory events during continuous positive airway pressure. Sleep. 2021 Apr 9;44(4):zsaa215. doi: 10.1093/sleep/zsaa215. PMCID: PMC8631077. by Oppersma E, Ganglberger W, Sun H, Thomas RJ*, Westover MB*
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Alternative remedies for insomnia: a proposed method for personalized therapeutic trials. Nature and Science of Sleep. 2017;9:97-108. PMCID: PMC5364017. by Romero K, Goparaju B, Russo K, Westover MB, Bianchi MT.
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Applications of a Capacitor-Based Respiratory Position Sensing Device: Implications for Radiation Therapy. Austin Journal of Medical Oncology 2014;1(2). PMCID: PMC6956860. by Weng Y, Westover MB, Speier C, Sharp G, Bianchi MT, Westover KD.
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Artificial Intelligence in Sleep Medicine: An American Academy of Sleep Medicine Position Statement. Journal of Clinical Sleep Medicine. 2020 Feb 5. doi: 10.5664/jcsm.8288. PMCID: PMC7161449. by Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, et al.
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Artificial intelligence in sleep medicine: Background and implications for clinicians. Journal of Clinical Sleep Medicine. 2020 Feb 17. doi: 10.5664/jcsm.8388. PMCID: PMC7161463. by Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, et al.
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Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks. IEEE Transactions on Biomedical Engineering. 2021 Dec 20;PP. doi: 10.1109/TBME.2021.3136753. Epub ahead of print. PMCID: PMC9119908. by Nassi TE, Ganglberger W, Sun H, Bucklin AA, Biswal S, van Putten MJAM, et al.
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Automated Sleep Apnea Quantification Based on Respiratory Movement. International Journal of Medical Sciences 2014; 11(8):796-802. PMCID: PMC4057486. by Bianchi MT, Lipoma T, Darling C, Alameddine Y, Westover MB.
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Brain Age from the Electroencephalogram of Sleep. Neurobiol Aging. 2019 Feb;74:112-120. PMCID: PMC6478501. by Sun H, Paixao L, Oliva JT, Goparaju B, Carvalho DZ, van Leeuwen KG, et al.
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Classification algorithms for predicting sleepiness and sleep apnea severity. Journal of Sleep Research. 2012 Feb;21(1):101-12. PMCID: PMC3698244. by Eiseman NA, Westover MB, Mietus JE, Thomas RJ, Bianchi MT
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Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. Front Comput Neurosci. 2021 Jun 18;15:680549. doi: 10.3389/fncom.2021.680549. PMCID: PMC8249809. by Li Q, Westover MB, Zhang R, Chu CJ.
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Data-Driven Modeling of Sleep States from EEG. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12). 2012;2012:5090-3. PMCID: PMC6788787. by Van Esbroeck A, Westover MB
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Decision modeling in sleep apnea: the critical roles of pre-test probability, cost of untreated OSA, and time horizon. Journal of Clinical Sleep Medicine. 2016 Mar;12(3):409-418. PMCID: PMC4773629. by Moro M, Westover MB, Kelly J, Bianchi MT.
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Dementia Detection from Brain Activity During Sleep. Sleep. Nov 30:zsac286. doi: 10.1093/sleep/zsac286. Epub ahead of print. PMID: 36448766.* by Ye E*, Sun H*, Krishnamurthy PV, Adra N, Ganglberger W, Thomas RJ, et al.
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Effects of cholinergic neuromodulation on thalamocortical rhythms during NREM sleep: a model study. Frontiers in Computational Neuroscience. 2020 Jan 23;13:100. doi: 10.3389/fncom.2019.00100. eCollection 2019. PMCID: PMC6990259. by Li Q, Song JL, Li SH, Westover MB, Zhang R.
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Emergence of stable functional networks in long-term human EEG. The Journal of Neuroscience, Feb 2012; 32(8): 2703-2713. PMCID: PMC3361717. by Chu-Shore C, Kramer MA, Pathmanathan J, Bianchi MT, Westover MB, Wizon L, et al.
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Excess Brain Age Reflected in the Electroencephalogram of Sleep Predicts Reduced Life Expectancy. Neurobiology of Aging. 2019 Dec 23. pii: S0197-4580(19)30443-9. doi: 10.1016/j.neurobiolaging.2019.12.015. PMCID: PMC7085452. by Paixao L, Sikka P, Sun H, Jain A, Hogan J, Thomas RJ, et al.
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Expert-level automated sleep staging of long-term scalp EEG recordings using deep learning. SLEEP. June 2020;zsaa112. doi:10.1093/sleep/zsaa112. PMCID: PMC7686563. by Jaoude MA, Sun H, Pellerin KR, Pavlova M, Sarkis RA, Cash SS, et al.
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Expert-level Sleep Scoring with Deep Neural Networks. Journal of the American Medical Informatics Association (JAMIA). 2018 Dec 1;25(12):1643-1650. PMCID: PMC6289549. by Biswal S, Kulas J, Sun H, Goparaju B, Westover MB*, Bianchi MT*, et al.
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Focal sleep spindle deficits reveal focal thalamocortical dysfunction and predict cognitive deficits in childhood epilepsy with centrotemporal spikes. Journal of Neuroscience. 2021 Jan 14:JN-RM-2009-20. doi: 10.1523/JNEUROSCI.2009-20.2020. Epub ahead of print. PMCID: PMC8115887. by Kramer M, Stoyell S, Chinappen D, Ostrowski L, Spencer E, Morgan A, et al.
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High prevalence of sleep-disordered breathing in the intensive care unit - a cross-sectional study. Sleep Breath. 2022 Aug 16. doi: 10.1007/s11325-022-02698-9. Epub ahead of print. PMID: 35971023. by Bucklin AA, Ganglberger W, Quadri SA, Tesh RA, Adra N, Da Silva Cardoso M, et al.
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HIV Increases Sleep-based Brain Age Despite Antiretroviral Therapy. SLEEP. 2021 Mar 30:zsab058. doi: 10.1093/sleep/zsab058. Epub ahead of print. PMCID: PMC8361332. by Leone MJ*, Sun H*, Boutros CL, Liu L, Ye E, Sullivan L, et al.
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How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics. 2022 Mar 28:10.1007/s12021-022-09572-9. doi: 10.1007/s12021-022-09572-9. Epub ahead of print. PMID: 35347570; PMCID: PMC9515245. by Singh NM, Harrod JB, Subramanian S, Robinson M, Chang K, Cetin-Karayumak S, et al.
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Insomnia and morning motor vehicle accidents: A decision analysis of the risk of hypnotics versus the risk of untreated insomnia. Journal of Clinical Psychopharmacology. 2014 Jun;34(3):400-402. PMCID: PMC6794095. by Bianchi MT, Westover MB.
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Large-Scale Automated Sleep Staging. Sleep. 2017 Oct 1;40(10). doi: 10.1093/sleep/zsx139. PMCID: PMC6251659. by Sun H, Jian J, Goparaju B, Huang GB, Sourina O, Bianchi MT, et al.
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Night-to-Night Variability of Sleep Electroencephalography-Based Brain Age Measurements. Clinical Neurophysiology. 2020 Oct 29;132(1):1-12. doi: 10.1016/j.clinph.2020.09.029. Epub ahead of print. PMCID: PMC7855943. by Hogan J, Sun H, Thomas RT, Westover MB.
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Optimal Spindle Detection Parameters for Predicting Cognitive Performance. Sleep. 2022 Jan 4:zsac001. doi: 10.1093/sleep/zsac001. Epub ahead of print. PMCID: PMC8996023. by Adra N, Sun H, Ganglberger W, Ye EM, Dümmer LW, Tesh RA, et al.
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Power Law versus Exponential State Transition Dynamics: Application to Sleep-Wake Architecture. PLoSONE 5(12): e14204. Dec. 2, 2010. PMCID: PMC2996311. by Chu-Shore J, Westover MB, Bianchi MT
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Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation. Sleep and Breathing. 2021 Aug 18. doi: 10.1007/s11325-021-02465-2. Online ahead of print. PMCID: PMC8854446. by Ganglberger W, Bucklin AA, Tesh R, Cardoso MDS, Sun H, Leone M, , et al.
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Sleep EEG-based Brain Age Index is a Biomarker for Dementia. JAMA Network Open. 2020 Sep 1;3(9):e2017357. doi: 10.1001/jamanetworkopen.2020.17357. PMID: 32986106; PMCID: PMC7522697. by Ye E, Sun H, Leone MJ, Paixao L, Thomas RJ, Lam AD, et al.
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Sleep Staging from Electrocardiography and Respiration with Deep Learning. SLEEP. Sleep. 2020 Jul 13;43(7):zsz306. doi: 10.1093/sleep/zsz306. PMCID: PMC7355395. by Sun H, Ganglberger W, Panneerselvam E, Leone MJ, Quadri SA, Goparaju B, et al.
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The Challenge of Undiagnosed Sleep Apnea in Low-Risk Populations: A Decision Analysis. Military Medicine 2014 Aug;179(8S):47-54. PMCID: PMC6788752. by Bianchi MT, Hershman S, Bahadoran M, Ferguson M, Westover MB.
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The Impact of Body Posture and Sleep Stages on Sleep Apnea Severity in Adults. Journal of Clinical Sleep Medicine. 2012 Dec 15;8(6):655-66A. PMCID: PMC3501662. by Eiseman NA, Westover MB, Ellenbogen JM, Bianchi MT
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The sleep and wake electroencephalogram over the lifespan. Neurobiol Aging. 2023 Jan 19;124:60-70. doi: 10.1016/j.neurobiolaging.2023.01.006. Epub ahead of print. PMID: 36739622. by Sun H, Ye E, Paixao L, Ganglberger W, Chu CJ, Zhang C, et al.
Tutorials
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A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay by Bray M-A, Gustafsdottir SM, Rohban MH, Singh S, Ljosa V, Sokolnicki KL, Bittker JA, Bodycombe NE, Dancik V, Hasaka TP, Hon CS, Kemp MM, Li K, Walpita D, Wawer MJ, Golub TR, Schreiber SL, Clemons PA, Shamji AF, & Carpenter AE
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Cell Painting predicts impact of lung cancer variants by Caicedo JC, Arevalo J, Piccioni F, Bray MA, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter AE, & Singh S
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Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes by Bray M-A, Singh S, Han H, Davis CT, Borgeson B, Hartland C, Kost-Alimova M, Gustafsdottir SM, Gibson CC, & Carpenter AE
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Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects by Singh S, Wu X, Ljosa V, Bray M-A, Piccioni F, Root DE, Doench JG, Boehm JS, & Carpenter AE
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Multiplex Cytological Profiling Assay to Measure Diverse Cellular States by Gustafsdottir SM, Ljosa V, Sokolnicki KL, Wilson JA, Walpita D, Kemp MM, Seiler KP, Carrel HA, Golub TR, Schreiber SL, Clemons PA, Carpenter AE, and Shamji AF
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Systematic morphological profiling of human gene and allele function via Cell Painting by Rohban MH, Singh S, Wu X, Berthet JB, Bray M-A, Shrestha Y, Varelas X, Boehm JS, & Carpenter AE
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Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling by Wawer MJ, Li K, Gustafsdottir SM, Ljosa V, BodycombeNE, Marton MA, Sokolnicki KL, Bray M-A, Kemp MM, Winchester E, Taylor B, Grant GB, Hon CSK, Duvall JR, Wilson JA, Bittker JA, Dancik V, Narayan R, Subramanian A, Winckler W, Golub TR, Carpenter AE, Shamji AF, Schreiber SL, & Clemons PA
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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.
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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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Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016) by Lek, M., Karczewski, K., Minikel, E. et al.
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Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals. Nature Communications 11, 2523 (2020) by Whiffin, N., Karczewski, K. J., Zhang, X., Chothani, S., Smith, M. J., Gareth Evans, D., Roberts, A. M., Quaife, N. M., Schafer, S., Rackham, O., Alföldi, J., O’Donnell-Luria, A. H., Francioli, L. C., Genome Aggregation Database (gnomAD) Production Team, Genome Aggregation Database (gnomAD) Consortium, Cook, S. A., Barton, P. J. R., MacArthur, D. G., & Ware, J. S.
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Evaluating potential drug targets through human loss-of-function genetic variation. Nature 581, 459–464 (2020) by Minikel, E. V., Karczewski, K. J., Martin, H. C., Cummings, B. B., Whiffin, N., Rhodes, D., Alföldi, J., Trembath, R. C., van Heel, D. A., Daly, M. J., Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Schreiber, S. L., & MacArthur, D. G.
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gnomAD v2.1 by Laurent Francioli, Grace Tiao, Konrad Karczewski, Matthew Solomonson, Nick Watts
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gnomAD v3.0 by Laurent Francioli, Daniel MacArthur
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Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nature Communications 11, 2539 (2020) by Wang, Q., Pierce-Hoffman, E., Cummings, B. B., Karczewski, K. J., Alföldi, J., Francioli, L. C., Gauthier, L. D., Hill, A. J., O’Donnell-Luria, A. H., Genome Aggregation Database (gnomAD) Production Team, Genome Aggregation Database (gnomAD) Consortium, & MacArthur, D. G.
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Technical artifact drives apparent deviation from Hardy-Weinberg equilibrium at CCR5-∆32 and other variants in gnomAD. bioRxiv (p. 784157) by Karczewski, K. J., Gauthier, L. D., Daly, M. J.
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The effect of LRRK2 loss-of-function variants in humans. Nature Medicine (2020) by Whiffin, N., Armean, I. M., Kleinman, A., Marshall, J. L., Minikel, E. V., Goodrich, J. K., Quaife, N. M., Cole, J. B., Wang, Q., Karczewski, K. J., Cummings, B. B., Francioli, L., Laricchia, K., Guan, A., Alipanahi, B., Morrison, P., Baptista, M. A. S., Merchant, K. M., Genome Aggregation Database Production Team, ... MacArthur, D. G.
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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.
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Transcript expression-aware annotation improves rare variant interpretation. Nature 581, 452–458 (2020) by Cummings, B. B., Karczewski, K. J., Kosmicki, J. A., Seaby, E. G., Watts, N. A., Singer-Berk, M., Mudge, J. M., Karjalainen, J., Kyle Satterstrom, F., O’Donnell-Luria, A., Poterba, T., Seed, C., Solomonson, M., Alföldi, J., The Genome Aggregation Database Production Team, The Genome Aggregation Database Consortium, Daly, M. J., & MacArthur, D. G.
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buttery-eel: The buttery eel - a slow5 guppy basecaller wrapper by Samarakoon, H., Ferguson, J.M., Gamaarachchi H. et al.
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Slow5curl: library and tool for accessing remote BLOW5 files. by Wong, B., et al.
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Slow5lib: toolkit slow5lib is a software library for reading & writing SLOW5 files. by Gamaarachchi, H., Samarakoon, H., Jenner, S.P. et al.
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Slow5tools: toolkit for converting (FAST5 <-> SLOW5), compressing, viewing, indexing and manipulating data in SLOW5 format. by Samarakoon, H., Ferguson, J.M., Jenner, S.P. et al.
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Accelerated nanopore basecalling with SLOW5 data format. by Samarakoon, H., Ferguson, J.M., Gamaarachchi H. et al.
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Fast nanopore sequencing data analysis with SLOW5. by Gamaarachchi, H., Samarakoon, H., Jenner, S.P. et al.
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Flexible and efficient handling of nanopore sequencing signal data with slow5tools. by Samarakoon, H., Ferguson, J.M., Jenner, S.P. et al.
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Streamlining remote nanopore data access with slow5curl by Wong, B., Ferguson, J.M., Do, J.Y. et al.
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Comparison of differential accessibility analysis strategies for ATAC-seq data by Gontarz P, Fu S, Xing X, Liu S, Miao B et.al.
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Environmental Determinants of cardiovasular disease: lessons learned from air pollution by Al-Kindi SG, Brook RD, Biswal S, Rajagopalan S.
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Epigenetic biomarkers and preterm birth by Park B, Khanam R, Vinayachandran V, et.al.
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Metabolic effects of air pollution exposure and reversibility by Rajagopalan S, Park B, Palanivel R, et al.
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The NIEHS TaRGET II Consortium and environmental epigenomics by Wang, T., Pehrsson, E., Purushotham, D. et al.
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The role of environmental exposures and the epigenome in health and disease. by Perera BPU, Faulk C, Svoboda LK, Goodrich JM, Dolinoy DC.
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Accessible, curated metagenomic data through ExperimentHub by Edoardo Pasolli, Lucas Schiffer, Paolo Manghi, Audrey Renson, Valerie Obenchain, Duy Tin Truong, Francesco Beghini, Faizan Malik, Marcel Ramos, Jennifer B Dowd, Curtis Huttenhower, Martin Morgan, Nicola Segata, and Levi Waldron
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TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages by Tiago C. Silva, Antonio Colaprico, Catharina Olsen, Fulvio D'Angelo, Gianluca Bontempi, Michele Ceccarelli, Houtan Noushmehr
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Wrangling Galaxy's reference data by Daniel Blankenberg, James E. Johnson, The Galaxy Team, James Taylor, Anton Nekrutenko
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BLAST+: Architecture and Applications by Christiam Camacho 1 , George Coulouris, Vahram Avagyan, Ning Ma, Jason Papadopoulos, Kevin Bealer, Thomas L Madden
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Gapped BLAST and PSI-BLAST: A New Generation of Protein Database Search Programs by S F Altschul, T L Madden, A A Schäffer, J Zhang, Z Zhang, W Miller, D J Lipman
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I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
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The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
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Advancing the Integration of Biosciences Data Sharing to Further Enable Space Exploration by Ryan T. Scott, Kirill Grigorev, Graham Mackintosh, Samrawit G. Gebre, Christopher E. Mason, Martha E. Del Alto, Sylvain V. Costes
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GeneLab: Omics database for spaceflight experiments by Shayoni Ray, Samrawit Gebre, Homer Fogle, Daniel C Berrios, Peter B Tran, Jonathan M Galazka, Sylvain V Costes
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NASA GeneLab: interfaces for the exploration of space omics data by Daniel C Berrios, Jonathan Galazka, Kirill Grigorev, Samrawit Gebre, Sylvain V Costes
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Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation by Jing J, Ge W, Hong S, Fernandes MB, Lin Z, Yang C et al., et al.
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SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography by Jing, J., Ge, W., Struck, A. F., Fernandes, M., Hong, S., An, S., et al.
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VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules by Christoph Gorgulla, AkshatKumar Nigam, Matt Koop, Süleyman Selim Çınaroğlu, Christopher Secker, Mohammad Haddadnia, Abhishek Kumar, Yehor Malets, Alexander Hasson, Roni Levin-Konigsberg, Dmitry Radchenko, Aditya Kumar, Minko Gehev, Pierre-Yves Aquilanti, Henry Gabb, Amr Alhossary, Gerhard Wagner, Al, Yurii S. Moroz, Konstantin Fackeldey, Haribabu Arthanari
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Emory Knee Radiograph Dataset by Brandon Price, Jason Adleberg, Kaesha Thomas, Zach Zaiman, Aawez Mansuri, Beatrice Brown-Mulry, Chima Okecheukwu, Judy Gichoya, Hari Trivedi.
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Harvard Electroencephalography Database by Zafar, S., Loddenkemper, T., Lee, J. W., Cole, A., Goldenholz, D., Peters, J., et al.
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No Evidence Known Viruses Play a Role in the Pathogenesis of Onchocerciasis-Associated Epilepsy. An Explorative Metagenomic Case-Control Study by Michael Roach,Adrian Cantu,Melissa Krizia Vieri,Matthew Cotten,Paul Kellam,My Phan,Lia van der Hoek,Michel Mandro,Floribert Tepage,Germain Mambandu,Gisele Musinya,Anne Laudisoit,Robert Colebunders,Robert Edwards, John L. Mokili
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The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive Synthetic Health Record. by Walonoski J, Hall D, Bates KM, Farris MH, Dagher J, Downs ME, Sivek RT, Wellner B, Gregorowicz A, Hadley M, Campion FX, Levine L, Wacome K, Emmer G, Kemmer A, Malik M, Hughes J, Granger E, Russell S.
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An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics by Albi Celaj, Alice Jiexin Gao, Tammy T.Y. Lau, Erle M. Holgersen, Alston Lo, Varun Lodaya, Christopher B. Cole, Robert E. Denroche, Carl Spickett, Omar Wagih, Pedro O. Pinheiro, Parth Vora, Pedrum Mohammadi-Shemirani, Steve Chan, Zach Nussbaum, Xi Zhang, Helen Zhu, Easwaran Ramamurthy, Bhargav Kanuparthi, Michael Iacocca, Diane Ly, Ken Kron, Marta Verby, Kahlin Cheung-Ong, Zvi Shalev, Brandon Vaz, Sakshi Bhargava, Farhan Yusuf, Sharon Samuel, Sabriyeh Alibai, Zahra Baghestani, Xinwen He, Kirsten Krastel, Oladipo Oladapo, Amrudha Mohan, Arathi Shanavas, Magdalena Bugno, Jovanka Bogojeski, Frank Schmitges, Carolyn Kim, Solomon Grant, Rachana Jayaraman, Tehmina Masud, Amit Deshwar, Shreshth Gandhi, Brendan J. Frey
If you want to add a dataset or usage example to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository or tell us about your project.
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