SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes

Abstract Numerous methods have been developed to analyse RNA sequencing (RNA-seq) data, but most rely on the availability of a reference genome, making them unsuitable for non-model organisms. Here we present superTranscripts, a substitute for a reference genome, where each gene with multiple transc...

Full description

Bibliographic Details
Main Authors: Nadia M. Davidson, Anthony D. K. Hawkins, Alicia Oshlack
Format: Article
Language:English
Published: BMC 2017-08-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-017-1284-1
id doaj-c21c8304183f45da8eb07ba74a110837
record_format Article
spelling doaj-c21c8304183f45da8eb07ba74a1108372020-11-25T02:31:02ZengBMCGenome Biology1474-760X2017-08-0118111010.1186/s13059-017-1284-1SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomesNadia M. Davidson0Anthony D. K. Hawkins1Alicia Oshlack2Murdoch Children’s Research Institute, Royal Children’s HospitalMurdoch Children’s Research Institute, Royal Children’s HospitalMurdoch Children’s Research Institute, Royal Children’s HospitalAbstract Numerous methods have been developed to analyse RNA sequencing (RNA-seq) data, but most rely on the availability of a reference genome, making them unsuitable for non-model organisms. Here we present superTranscripts, a substitute for a reference genome, where each gene with multiple transcripts is represented by a single sequence. The Lace software is provided to construct superTranscripts from any set of transcripts, including de novo assemblies. We demonstrate how superTranscripts enable visualisation, variant detection and differential isoform detection in non-model organisms. We further use Lace to combine reference and assembled transcriptomes for chicken and recover hundreds of gaps in the reference genome.http://link.springer.com/article/10.1186/s13059-017-1284-1
collection DOAJ
language English
format Article
sources DOAJ
author Nadia M. Davidson
Anthony D. K. Hawkins
Alicia Oshlack
spellingShingle Nadia M. Davidson
Anthony D. K. Hawkins
Alicia Oshlack
SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
Genome Biology
author_facet Nadia M. Davidson
Anthony D. K. Hawkins
Alicia Oshlack
author_sort Nadia M. Davidson
title SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
title_short SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
title_full SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
title_fullStr SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
title_full_unstemmed SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes
title_sort supertranscripts: a data driven reference for analysis and visualisation of transcriptomes
publisher BMC
series Genome Biology
issn 1474-760X
publishDate 2017-08-01
description Abstract Numerous methods have been developed to analyse RNA sequencing (RNA-seq) data, but most rely on the availability of a reference genome, making them unsuitable for non-model organisms. Here we present superTranscripts, a substitute for a reference genome, where each gene with multiple transcripts is represented by a single sequence. The Lace software is provided to construct superTranscripts from any set of transcripts, including de novo assemblies. We demonstrate how superTranscripts enable visualisation, variant detection and differential isoform detection in non-model organisms. We further use Lace to combine reference and assembled transcriptomes for chicken and recover hundreds of gaps in the reference genome.
url http://link.springer.com/article/10.1186/s13059-017-1284-1
work_keys_str_mv AT nadiamdavidson supertranscriptsadatadrivenreferenceforanalysisandvisualisationoftranscriptomes
AT anthonydkhawkins supertranscriptsadatadrivenreferenceforanalysisandvisualisationoftranscriptomes
AT aliciaoshlack supertranscriptsadatadrivenreferenceforanalysisandvisualisationoftranscriptomes
_version_ 1724825761005699072