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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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 |
work_keys_str_mv |
AT lauraoikkonen makingthemostofrnaseqpreprocessingsequencingdatawithopossumforreliablesnpvariantdetectionversion1referees2approved1approvedwithreservations AT stefanolise makingthemostofrnaseqpreprocessingsequencingdatawithopossumforreliablesnpvariantdetectionversion1referees2approved1approvedwithreservations |
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