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Collado-Torres L, Nellore A, Jaffe AE. recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor. F1000Res. 2017;6:1558doi: 10.12688/f1000research.12223.1.
Collado-Torres, L., Nellore, A., & Jaffe, A. E. (2017). recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor. F1000Research, 61558. https://doi.org/10.12688/f1000research.12223.1
Collado-Torres, Leonardo, et al. "recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor." F1000Research vol. 6 (2017): 1558. doi: https://doi.org/10.12688/f1000research.12223.1
Collado-Torres L, Nellore A, Jaffe AE. recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor. F1000Res. 2017 Aug 24;6:1558. doi: 10.12688/f1000research.12223.1. eCollection 2017. PMID: 29043067; PMCID: PMC5621122.
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F1000Res. 2017 Aug 24;6:1558. doi: 10.12688/f1000research.12223.1. eCollection 2017.

recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor.

F1000Research

Leonardo Collado-Torres, Abhinav Nellore, Andrew E Jaffe

Affiliations

  1. Lieber Institute for Brain Development, Baltimore, MD, 21205, USA.
  2. Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21205 , USA.
  3. Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239, USA.
  4. Department of Surgery, Oregon Health and Science University, Portland, OR, 97239, USA.
  5. Computational Biology Program, Oregon Health and Science University, Portland, OR, 97239, USA.
  6. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
  7. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

PMID: 29043067 PMCID: PMC5621122 DOI: 10.12688/f1000research.12223.1

Abstract

The recount2 resource is composed of over 70,000 uniformly processed human RNA-seq samples spanning TCGA and SRA, including GTEx. The processed data can be accessed via the recount2 website and the

Keywords: Bioconductor; GTEx; RNA-seq; SRA; TCGA; bioinformatics; differential expression; genomics; human; visualization

Conflict of interest statement

Competing interests: No competing interests were disclosed.

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