Literature DB >> 27941783

Simulation-based comprehensive benchmarking of RNA-seq aligners.

Giacomo Baruzzo1, Katharina E Hayer2, Eun Ji Kim2, Barbara Di Camillo1, Garret A FitzGerald2,3, Gregory R Grant2,4.   

Abstract

Alignment is the first step in most RNA-seq analysis pipelines, and the accuracy of downstream analyses depends heavily on it. Unlike most steps in the pipeline, alignment is particularly amenable to benchmarking with simulated data. We performed a comprehensive benchmarking of 14 common splice-aware aligners for base, read, and exon junction-level accuracy and compared default with optimized parameters. We found that performance varied by genome complexity, and accuracy and popularity were poorly correlated. The most widely cited tool underperforms for most metrics, particularly when using default settings.

Entities:  

Mesh:

Year:  2016        PMID: 27941783      PMCID: PMC5792058          DOI: 10.1038/nmeth.4106

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  22 in total

1.  Field guide to next-generation DNA sequencers.

Authors:  Travis C Glenn
Journal:  Mol Ecol Resour       Date:  2011-05-19       Impact factor: 7.090

2.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

3.  Tools for mapping high-throughput sequencing data.

Authors:  Nuno A Fonseca; Johan Rung; Alvis Brazma; John C Marioni
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

4.  ContextMap 2: fast and accurate context-based RNA-seq mapping.

Authors:  Thomas Bonfert; Evelyn Kirner; Gergely Csaba; Ralf Zimmer; Caroline C Friedel
Journal:  BMC Bioinformatics       Date:  2015-04-17       Impact factor: 3.169

5.  RNA-Seq gene profiling--a systematic empirical comparison.

Authors:  Nuno A Fonseca; John Marioni; Alvis Brazma
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

6.  The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Nucleic Acids Res       Date:  2013-04-04       Impact factor: 16.971

7.  A comprehensive evaluation of alignment algorithms in the context of RNA-seq.

Authors:  Robert Lindner; Caroline C Friedel
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

8.  OLego: fast and sensitive mapping of spliced mRNA-Seq reads using small seeds.

Authors:  Jie Wu; Olga Anczuków; Adrian R Krainer; Michael Q Zhang; Chaolin Zhang
Journal:  Nucleic Acids Res       Date:  2013-04-09       Impact factor: 16.971

9.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

10.  Comparing reference-based RNA-Seq mapping methods for non-human primate data.

Authors:  Ashlee M Benjamin; Marshall Nichols; Thomas W Burke; Geoffrey S Ginsburg; Joseph E Lucas
Journal:  BMC Genomics       Date:  2014-07-07       Impact factor: 3.969

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  81 in total

1.  Transcriptomic analysis to affirm the regulatory role of long non-coding RNA in horn cancer of Indian zebu cattle breed Kankrej (Bos indicus).

Authors:  Pritesh H Sabara; Subhash J Jakhesara; Ketankumar J Panchal; Chaitanya G Joshi; Prakash G Koringa
Journal:  Funct Integr Genomics       Date:  2019-07-31       Impact factor: 3.410

2.  Bioinformatic analysis of bacteria and host cell dual RNA-sequencing experiments.

Authors:  James W Marsh; Regan J Hayward; Amol C Shetty; Anup Mahurkar; Michael S Humphrys; Garry S A Myers
Journal:  Brief Bioinform       Date:  2018-11-27       Impact factor: 11.622

Review 3.  Brain Transcriptome Databases: A User's Guide.

Authors:  Jason M Keil; Adel Qalieh; Kenneth Y Kwan
Journal:  J Neurosci       Date:  2018-02-07       Impact factor: 6.167

4.  An Integrated Strategy for Identifying Targets of Ubiquitin-Mediated Degradation in CD4+ T Cells.

Authors:  Natania S Field; Claire E O'Leary; Joseph M Dybas; Hua Ding; Paula M Oliver
Journal:  Methods Mol Biol       Date:  2020

5.  Systematic evaluation of differential splicing tools for RNA-seq studies.

Authors:  Arfa Mehmood; Asta Laiho; Mikko S Venäläinen; Aidan J McGlinchey; Ning Wang; Laura L Elo
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

6.  Initial HCV infection of adult hepatocytes triggers a temporally structured transcriptional program containing diverse pro- and anti-viral elements.

Authors:  Birthe Tegtmeyer; Gabrielle Vieyres; Daniel Todt; Chris Lauber; Corinne Ginkel; Michael Engelmann; Maike Herrmann; Christian K Pfaller; Florian W R Vondran; Ruth Broering; Ehsan Vafadarnejad; Antoine-Emmanuel Saliba; Christina Puff; Wolfgang Baumgärtner; Csaba Miskey; Zoltán Ivics; Eike Steinmann; Thomas Pietschmann; Richard J P Brown
Journal:  J Virol       Date:  2021-03-03       Impact factor: 5.103

7.  Galaxy CLIP-Explorer: a web server for CLIP-Seq data analysis.

Authors:  Florian Heyl; Daniel Maticzka; Michael Uhl; Rolf Backofen
Journal:  Gigascience       Date:  2020-11-11       Impact factor: 6.524

8.  Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency.

Authors:  Deborah Gérard; Florian Schmidt; Aurélien Ginolhac; Martine Schmitz; Rashi Halder; Peter Ebert; Marcel H Schulz; Thomas Sauter; Lasse Sinkkonen
Journal:  Nucleic Acids Res       Date:  2019-02-20       Impact factor: 16.971

9.  Chromatin Remodeling and Immediate Early Gene Activation by SLFN11 in Response to Replication Stress.

Authors:  Junko Murai; Hongliang Zhang; Lorinc Pongor; Sai-Wen Tang; Ukhyun Jo; Fumiya Moribe; Yixiao Ma; Masaru Tomita; Yves Pommier
Journal:  Cell Rep       Date:  2020-03-24       Impact factor: 9.423

10.  Draft genome sequence of Lactobacillus delbrueckii subsp. bulgaricus LBP UFSC 2230: a tool for preliminary identification of enzymes involved in CLA metabolism.

Authors:  Gabriela Christina Kuhl; Ricardo Ruiz Mazzon; Rubens Tadeu Delgado Duarte; Juliano De Dea Lindner
Journal:  Braz J Microbiol       Date:  2021-04-23       Impact factor: 2.476

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