Literature DB >> 33322033

RNAflow: An Effective and Simple RNA-Seq Differential Gene Expression Pipeline Using Nextflow.

Marie Lataretu1, Martin Hölzer2.   

Abstract

RNA-Seq enables the identification and quantification of RNA molecules, often with the aim of detecting differentially expressed genes (DEGs). Although RNA-Seq evolved into a standard technique, there is no universal gold standard for these data's computational analysis. On top of that, previous studies proved the irreproducibility of RNA-Seq studies. Here, we present a portable, scalable, and parallelizable Nextflow RNA-Seq pipeline to detect DEGs, which assures a high level of reproducibility. The pipeline automatically takes care of common pitfalls, such as ribosomal RNA removal and low abundance gene filtering. Apart from various visualizations for the DEG results, we incorporated downstream pathway analysis for common species as Homo sapiens and Mus musculus. We evaluated the DEG detection functionality while using qRT-PCR data serving as a reference and observed a very high correlation of the logarithmized gene expression fold changes.

Entities:  

Keywords:  Nextflow pipeline; RNA-Seq; differential gene expression analysis; workflow

Year:  2020        PMID: 33322033      PMCID: PMC7763471          DOI: 10.3390/genes11121487

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  49 in total

1.  Nextflow enables reproducible computational workflows.

Authors:  Paolo Di Tommaso; Maria Chatzou; Evan W Floden; Pablo Prieto Barja; Emilio Palumbo; Cedric Notredame
Journal:  Nat Biotechnol       Date:  2017-04-11       Impact factor: 54.908

2.  HISAT: a fast spliced aligner with low memory requirements.

Authors:  Daehwan Kim; Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2015-03-09       Impact factor: 28.547

3.  The primary transcriptome of the major human pathogen Helicobacter pylori.

Authors:  Cynthia M Sharma; Steve Hoffmann; Fabien Darfeuille; Jérémy Reignier; Sven Findeiss; Alexandra Sittka; Sandrine Chabas; Kristin Reiche; Jörg Hackermüller; Richard Reinhardt; Peter F Stadler; Jörg Vogel
Journal:  Nature       Date:  2010-02-17       Impact factor: 49.962

Review 4.  RNA-Seq differential expression analysis: An extended review and a software tool.

Authors:  Juliana Costa-Silva; Douglas Domingues; Fabricio Martins Lopes
Journal:  PLoS One       Date:  2017-12-21       Impact factor: 3.240

5.  Singularity: Scientific containers for mobility of compute.

Authors:  Gregory M Kurtzer; Vanessa Sochat; Michael W Bauer
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

6.  fastp: an ultra-fast all-in-one FASTQ preprocessor.

Authors:  Shifu Chen; Yanqing Zhou; Yaru Chen; Jia Gu
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

7.  WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs.

Authors:  Yuxing Liao; Jing Wang; Eric J Jaehnig; Zhiao Shi; Bing Zhang
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

8.  Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input.

Authors:  Dimitra Sarantopoulou; Soon Yew Tang; Emanuela Ricciotti; Nicholas F Lahens; Damien Lekkas; Jonathan Schug; Xiaofeng S Guo; Georgios K Paschos; Garret A FitzGerald; Allan I Pack; Gregory R Grant
Journal:  Sci Rep       Date:  2019-09-17       Impact factor: 4.379

9.  Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods.

Authors:  Leif Väremo; Jens Nielsen; Intawat Nookaew
Journal:  Nucleic Acids Res       Date:  2013-02-26       Impact factor: 16.971

10.  OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data.

Authors:  Rui Li; Kai Hu; Haibo Liu; Michael R Green; Lihua Julie Zhu
Journal:  Genes (Basel)       Date:  2020-10-02       Impact factor: 4.096

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