Compacting and correcting Trinity and Oases RNA-Seq de novo assemblies

Author:

Cabau Cédric1,Escudié Frédéric2,Djari Anis3,Guiguen Yann4,Bobe Julien4,Klopp Christophe12

Affiliation:

1. SIGENAE, GenPhySE, Université de Toulouse, INRA, INPT, ENV, Castanet Tolosan, France

2. Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet Tolosan, France

3. Laboratoire Génomique et Biotechnologie du Fruit, UMR990 INRA/INP-ENSAT, Auzeville, France

4. UR1037 Fish Physiology and Genomics, INRA, Rennes, France

Abstract

Background De novo transcriptome assembly of short reads is now a common step in expression analysis of organisms lacking a reference genome sequence. Several software packages are available to perform this task. Even if their results are of good quality it is still possible to improve them in several ways including redundancy reduction or error correction. Trinity and Oases are two commonly used de novo transcriptome assemblers. The contig sets they produce are of good quality. Still, their compaction (number of contigs needed to represent the transcriptome) and their quality (chimera and nucleotide error rates) can be improved. Results We built a de novo RNA-Seq Assembly Pipeline (DRAP) which wraps these two assemblers (Trinity and Oases) in order to improve their results regarding the above-mentioned criteria. DRAP reduces from 1.3 to 15 fold the number of resulting contigs of the assemblies depending on the read set and the assembler used. This article presents seven assembly comparisons showing in some cases drastic improvements when using DRAP. DRAP does not significantly impair assembly quality metrics such are read realignment rate or protein reconstruction counts. Conclusion Transcriptome assembly is a challenging computational task even if good solutions are already available to end-users, these solutions can still be improved while conserving the overall representation and quality of the assembly. The de novo RNA-Seq Assembly Pipeline (DRAP) is an easy to use software package to produce compact and corrected transcript set. DRAP is free, open-source and available under GPL V3 license at http://www.sigenae.org/drap.

Funder

PhyloFish

France Génomique

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference20 articles.

1. FRAMA: from RNA-seq data to annotated mRNA assemblies;Bens;BMC Genomics,2016

2. Illegitimate transcription: transcription of any gene in any cell type;Chelly;Proceedings of the National Academy of Sciences of the United States of America,1989

3. Corset: enabling differential gene expression analysis for de novo assembled transcriptomes;Davidson;Genome Biology,2014

4. Landscape of transcription in human cells;Djebali;Nature,2012

5. ChiTaRS: a database of human, mouse and fruit fly chimeric transcripts and RNA-sequencing data;Frenkel-Morgenstern;Nucleic Acids Research,2013

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