4.6 Article

Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud

期刊

PLOS COMPUTATIONAL BIOLOGY
卷 11, 期 8, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1004393

关键词

-

资金

  1. NIH [K99HG007940, K22CA188163]
  2. NATIONAL CANCER INSTITUTE [T32CA113275, K22CA188163] Funding Source: NIH RePORTER
  3. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [K99HG007940] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据