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Nathan C Sheffield

Showing results (41-50 of 65) with videos related to

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NAR Genomics and Bioinformatics|July 8, 2024
Fast clustering and cell-type annotation of scATAC data using pre-trained embeddingsNathan J LeRoy, Jason P Smith, Guangtao Zheng, et al.
Bioinformatics (Oxford, England)|June 22, 2021
Embeddings of genomic region sets capture rich biological associations in lower dimensionsErfaneh Gharavi, Aaron Gu, Guangtao Zheng, et al.
Scientific Data|September 8, 2022
From biomedical cloud platforms to microservices: next steps in FAIR data and analysisNathan C Sheffield, Vivien R Bonazzi, Philip E Bourne, et al.
Genome Research|March 14, 2013
Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactionsNathan C Sheffield, Robert E Thurman, Lingyun Song, et al.
Circulation Research|July 3, 2023
Renin Cell Development: Insights From Chromatin Accessibility and Single-Cell TranscriptomicsAlexandre G Martini, Jason P Smith, Silvia Medrano, et al.
Genome Biology|January 26, 2017
Single-cell epigenomic variability reveals functional cancer heterogeneityUlrike M Litzenburger, Jason D Buenrostro, Beijing Wu, et al.
Bioinformatics (Oxford, England)|July 14, 2021
Refget: standardized access to reference sequencesAndrew D Yates, Jeremy Adams, Somesh Chaturvedi, et al.
Bioinformatics (Oxford, England)|April 17, 2023
excluderanges: exclusion sets for T2T-CHM13, GRCm39, and other genome assembliesJonathan D Ogata, Wancen Mu, Eric S Davis, et al.
BMC Genomics|April 13, 2022
GenomicDistributions: fast analysis of genomic intervals with BioconductorKristyna Kupkova, Jose Verdezoto Mosquera, Jason P Smith, et al.
Methods in Molecular Biology (Clifton, N.J.)|August 8, 2025
Bioconductor's Computational Ecosystem for Genomic Data Science in CancerMarcel Ramos, Lori Shepherd, Nathan C Sheffield, et al.
Pageof 7

Showing results (41-50 of 65) with videos related to

Sort By:
Pageof 7
NAR Genomics and Bioinformatics|July 8, 2024
Fast clustering and cell-type annotation of scATAC data using pre-trained embeddingsNathan J LeRoy, Jason P Smith, Guangtao Zheng, et al.
Bioinformatics (Oxford, England)|June 22, 2021
Embeddings of genomic region sets capture rich biological associations in lower dimensionsErfaneh Gharavi, Aaron Gu, Guangtao Zheng, et al.
Scientific Data|September 8, 2022
From biomedical cloud platforms to microservices: next steps in FAIR data and analysisNathan C Sheffield, Vivien R Bonazzi, Philip E Bourne, et al.
Genome Research|March 14, 2013
Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactionsNathan C Sheffield, Robert E Thurman, Lingyun Song, et al.
Circulation Research|July 3, 2023
Renin Cell Development: Insights From Chromatin Accessibility and Single-Cell TranscriptomicsAlexandre G Martini, Jason P Smith, Silvia Medrano, et al.
Genome Biology|January 26, 2017
Single-cell epigenomic variability reveals functional cancer heterogeneityUlrike M Litzenburger, Jason D Buenrostro, Beijing Wu, et al.
Bioinformatics (Oxford, England)|July 14, 2021
Refget: standardized access to reference sequencesAndrew D Yates, Jeremy Adams, Somesh Chaturvedi, et al.
Bioinformatics (Oxford, England)|April 17, 2023
excluderanges: exclusion sets for T2T-CHM13, GRCm39, and other genome assembliesJonathan D Ogata, Wancen Mu, Eric S Davis, et al.
BMC Genomics|April 13, 2022
GenomicDistributions: fast analysis of genomic intervals with BioconductorKristyna Kupkova, Jose Verdezoto Mosquera, Jason P Smith, et al.
Methods in Molecular Biology (Clifton, N.J.)|August 8, 2025
Bioconductor's Computational Ecosystem for Genomic Data Science in CancerMarcel Ramos, Lori Shepherd, Nathan C Sheffield, et al.
Pageof 7