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SeqAcademy:一个用于RNA测序和染色质免疫沉淀测序分析的教育流程。

SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis.

作者信息

Ather Syed Hussain, Awe Olaitan Igbagbo, Butler Thomas J, Denka Tamiru, Semick Stephen Andrew, Tang Wanhu, Busby Ben

机构信息

National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA.

National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA.

出版信息

F1000Res. 2018 May 22;7. doi: 10.12688/f1000research.14880.4. eCollection 2018.

Abstract

Quantification of gene expression and characterization of gene transcript structures are central problems in molecular biology. RNA sequencing (RNA-Seq) and chromatin immunoprecipitation sequencing (ChIP-Seq) are important methods, but can be cumbersome and difficult for beginners to learn. To teach interested students and scientists how to analyze RNA-Seq and ChIP-Seq data, we present a start-to-finish tutorial for analyzing RNA-Seq and ChIP-Seq data: SeqAcademy ( https://github.com/NCBI-Hackathons/seqacademy, http://www.seqacademy.org/). This user-friendly pipeline, fully written in markdown language, emphasizes the use of publicly available RNA-Seq and ChIP-Seq data and strings together popular tools that bridge that gap between raw sequencing reads and biological insight. We demonstrate practical and conceptual considerations for various RNA-Seq and ChIP-Seq analysis steps with a biological use case - a previously published yeast experiment. This work complements existing sophisticated RNA-Seq and ChIP-Seq pipelines designed for advanced users by gently introducing the critical components of RNA-Seq and ChIP-Seq analysis to the novice bioinformatician. In conclusion, this well-documented pipeline will introduce state-of-the-art RNA-Seq and ChIP-Seq analysis tools to beginning bioinformaticians and help facilitate the analysis of the burgeoning amounts of public RNA-Seq and ChIP-Seq data.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/197e/7526264/5d355680506d/f1000research-7-29651-g0000.jpg

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