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De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis
- Source :
- Nature protocols. 8(8)
- Publication Year :
- 2013
-
Abstract
- De novo assembly of RNA-seq data enables researchers to study transcriptomes without the need for a genome sequence; this approach can be usefully applied, for instance, in research on 'non-model organisms' of ecological and evolutionary importance, cancer samples or the microbiome. In this protocol we describe the use of the Trinity platform for de novo transcriptome assembly from RNA-seq data in non-model organisms. We also present Trinity-supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages for identifying differentially expressed transcripts across samples and approaches to identify protein-coding genes. In the procedure, we provide a workflow for genome-independent transcriptome analysis leveraging the Trinity platform. The software, documentation and demonstrations are freely available from http://trinityrnaseq.sourceforge.net. The run time of this protocol is highly dependent on the size and complexity of data to be analyzed. The example data set analyzed in the procedure detailed herein can be processed in less than 5 h.
- Subjects :
- Genetics
Whole genome sequencing
Base Sequence
Sequence analysis
Sequence Analysis, RNA
Gene Expression Profiling
De novo transcriptome assembly
Sequence assembly
RNA-Seq
Computational biology
Biology
General Biochemistry, Genetics and Molecular Biology
Article
Bioconductor
Transcriptome
Schizosaccharomyces
RNA
Schizosaccharomyces pombe Proteins
Blast2GO
Software
Subjects
Details
- ISSN :
- 17502799
- Volume :
- 8
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Nature protocols
- Accession number :
- edsair.doi.dedup.....814fe44d6ef692ad63b6ae6d7b3c45e7