Journal article

TranSeqAnnotator: large-scale analysis of transcriptomic data

Ranjeeta Menon, Gagan Garg, Robin B Gasser, Shoba Ranganathan

BMC Bioinformatics | BMC | Published : 2012

Abstract

BACKGROUND: The transcriptome of an organism can be studied with the analysis of expressed sequence tag (EST) data sets that offers a rapid and cost effective approach with several new and updated bioinformatics approaches and tools for assembly and annotation. The comprehensive analyses comprehend an organism along with the genome and proteome analysis. With the advent of large-scale sequencing projects and generation of sequence data at protein and cDNA levels, automated analysis pipeline is necessary to store, organize and annotate ESTs. RESULTS: TranSeqAnnotator is a workflow for large-scale analysis of transcriptomic data with the most appropriate bioinformatics tools for data managemen..

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University of Melbourne Researchers