Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]

Identifying variants from RNA-seq (transcriptome sequencing) data is a cost-effective and versatile alternative to whole-genome sequencing. However, current variant callers do not generally behave well with RNA-seq data due to reads encompassing intronic regions. We have developed a software program...

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Main Authors: Laura Oikkonen, Stefano Lise
Format: Article
Language:English
Published: Wellcome 2017-01-01
Series:Wellcome Open Research
Subjects:
Online Access:https://wellcomeopenresearch.org/articles/2-6/v1
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spelling doaj-756c41e06c3943bd8ffa182b141f65c22020-11-24T22:49:59ZengWellcomeWellcome Open Research2398-502X2017-01-01210.12688/wellcomeopenres.10501.111317Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]Laura Oikkonen0Stefano Lise1Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UKCentre for Evolution and Cancer, The Institute of Cancer Research, Sutton, UKIdentifying variants from RNA-seq (transcriptome sequencing) data is a cost-effective and versatile alternative to whole-genome sequencing. However, current variant callers do not generally behave well with RNA-seq data due to reads encompassing intronic regions. We have developed a software programme called Opossum to address this problem. Opossum pre-processes RNA-seq reads prior to variant calling, and although it has been designed to work specifically with Platypus, it can be used equally well with other variant callers such as GATK HaplotypeCaller. In this work, we show that using Opossum in conjunction with either Platypus or GATK HaplotypeCaller maintains precision and improves the sensitivity for SNP detection compared to the GATK Best Practices pipeline. In addition, using it in combination with Platypus offers a substantial reduction in run times compared to the GATK pipeline so it is ideal when there are only limited time or computational resources available.https://wellcomeopenresearch.org/articles/2-6/v1Bioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Laura Oikkonen
Stefano Lise
spellingShingle Laura Oikkonen
Stefano Lise
Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
Wellcome Open Research
Bioinformatics
author_facet Laura Oikkonen
Stefano Lise
author_sort Laura Oikkonen
title Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
title_short Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
title_full Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
title_fullStr Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
title_full_unstemmed Making the most of RNA-seq: Pre-processing sequencing data with Opossum for reliable SNP variant detection [version 1; referees: 2 approved, 1 approved with reservations]
title_sort making the most of rna-seq: pre-processing sequencing data with opossum for reliable snp variant detection [version 1; referees: 2 approved, 1 approved with reservations]
publisher Wellcome
series Wellcome Open Research
issn 2398-502X
publishDate 2017-01-01
description Identifying variants from RNA-seq (transcriptome sequencing) data is a cost-effective and versatile alternative to whole-genome sequencing. However, current variant callers do not generally behave well with RNA-seq data due to reads encompassing intronic regions. We have developed a software programme called Opossum to address this problem. Opossum pre-processes RNA-seq reads prior to variant calling, and although it has been designed to work specifically with Platypus, it can be used equally well with other variant callers such as GATK HaplotypeCaller. In this work, we show that using Opossum in conjunction with either Platypus or GATK HaplotypeCaller maintains precision and improves the sensitivity for SNP detection compared to the GATK Best Practices pipeline. In addition, using it in combination with Platypus offers a substantial reduction in run times compared to the GATK pipeline so it is ideal when there are only limited time or computational resources available.
topic Bioinformatics
url https://wellcomeopenresearch.org/articles/2-6/v1
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