Literature DB >> 35737247

Sequences to Differences in Gene Expression: Analysis of RNA-Seq Data.

Polina V Pavlovich1, Pierre Cauchy2,3.   

Abstract

RNA-Seq is now a routinely employed assay to measure gene expression. As the technique matured over the last decade, so have dedicated analytic tools. In this chapter, we first describe the mainstream as well as the most up-to-date protocols and their implications on downstream analysis. We then detail the steps entailing RNA-Seq analysis in three main stages: (i) preprocessing and data preparation, (ii) upstream processing, and (iii) high-level analyses. We review the most recent and relevant tools as one workflow following a stepwise order. The chapter further encompasses in-depth features of these tools. Details of the required code are made available throughout the chapter, as well as of the underlying statistics. We illustrate these steps with analysis of publicly available RNA-Seq data.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Alignment; Bioinformatics; Differential expression; Pipeline; Protocols; RNA-Seq; Statistics

Mesh:

Year:  2022        PMID: 35737247     DOI: 10.1007/978-1-0716-2376-3_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  58 in total

1.  Illumina sequencing library preparation for highly multiplexed target capture and sequencing.

Authors:  Matthias Meyer; Martin Kircher
Journal:  Cold Spring Harb Protoc       Date:  2010-06

2.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

3.  Sequencing of first-strand cDNA library reveals full-length transcriptomes.

Authors:  Saurabh Agarwal; Todd S Macfarlan; Maureen A Sartor; Shigeki Iwase
Journal:  Nat Commun       Date:  2015-01-21       Impact factor: 14.919

Review 4.  Progression through the RNA polymerase II CTD cycle.

Authors:  Stephen Buratowski
Journal:  Mol Cell       Date:  2009-11-25       Impact factor: 17.970

5.  Transcriptome profiling of Giardia intestinalis using strand-specific RNA-seq.

Authors:  Oscar Franzén; Jon Jerlström-Hultqvist; Elin Einarsson; Johan Ankarklev; Marcela Ferella; Björn Andersson; Staffan G Svärd
Journal:  PLoS Comput Biol       Date:  2013-03-28       Impact factor: 4.475

6.  Comprehensive comparative analysis of strand-specific RNA sequencing methods.

Authors:  Joshua Z Levin; Moran Yassour; Xian Adiconis; Chad Nusbaum; Dawn Anne Thompson; Nir Friedman; Andreas Gnirke; Aviv Regev
Journal:  Nat Methods       Date:  2010-08-15       Impact factor: 28.547

7.  Comparison of stranded and non-stranded RNA-seq transcriptome profiling and investigation of gene overlap.

Authors:  Shanrong Zhao; Ying Zhang; William Gordon; Jie Quan; Hualin Xi; Sarah Du; David von Schack; Baohong Zhang
Journal:  BMC Genomics       Date:  2015-09-03       Impact factor: 3.969

8.  Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.

Authors:  Wei Zhao; Xiaping He; Katherine A Hoadley; Joel S Parker; David Neil Hayes; Charles M Perou
Journal:  BMC Genomics       Date:  2014-06-02       Impact factor: 3.969

9.  Evaluation of two main RNA-seq approaches for gene quantification in clinical RNA sequencing: polyA+ selection versus rRNA depletion.

Authors:  Shanrong Zhao; Ying Zhang; Ramya Gamini; Baohong Zhang; David von Schack
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

10.  ZFP451-mediated SUMOylation of SATB2 drives embryonic stem cell differentiation.

Authors:  Gustavo Antonio Urrutia; Haribaskar Ramachandran; Pierre Cauchy; Kyungjin Boo; Senthilkumar Ramamoorthy; Soeren Boller; Esen Dogan; Thomas Clapes; Eirini Trompouki; Maria-Elena Torres-Padilla; Jorma J Palvimo; Andrea Pichler; Rudolf Grosschedl
Journal:  Genes Dev       Date:  2021-07-08       Impact factor: 11.361

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