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

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Author
Davidson, NM; Hawkins, ADK; Oshlack, ADate
2017-08-04Source Title
Genome BiologyPublisher
BIOMED CENTRAL LTDAffiliation
School of BioSciencesSchool of Physics
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Journal ArticleCitations
Davidson, N. M., Hawkins, A. D. K. & Oshlack, A. (2017). SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes. GENOME BIOLOGY, 18 (1), https://doi.org/10.1186/s13059-017-1284-1.Access Status
Open AccessAbstract
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.
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