The eukaryotic transcriptome is composed of thousands of coding and long non-coding RNAs (lncRNAs). However, we lack a software platform to identify both RNA classes in a given transcriptome. Here we introduce Annocript, a pipeline that combines the annotation of protein coding transcripts with the prediction of putative lncRNAs in whole transcriptomes. It downloads and indexes the needed databases, runs the analysis and produces human readable and standard outputs together with summary statistics of the whole analysis.

Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs / Musacchia, Francesco; Basu, Swaraj; Petrosino, Giuseppe; Salvemini, Marco; Sanges, Remo. - In: BIOINFORMATICS. - ISSN 1367-4803. - 31:13(2015), p. 2199-201. [10.1093/bioinformatics/btv106]

Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs

MUSACCHIA, FRANCESCO;PETROSINO, GIUSEPPE;SALVEMINI, MARCO;
2015

Abstract

The eukaryotic transcriptome is composed of thousands of coding and long non-coding RNAs (lncRNAs). However, we lack a software platform to identify both RNA classes in a given transcriptome. Here we introduce Annocript, a pipeline that combines the annotation of protein coding transcripts with the prediction of putative lncRNAs in whole transcriptomes. It downloads and indexes the needed databases, runs the analysis and produces human readable and standard outputs together with summary statistics of the whole analysis.
2015
Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs / Musacchia, Francesco; Basu, Swaraj; Petrosino, Giuseppe; Salvemini, Marco; Sanges, Remo. - In: BIOINFORMATICS. - ISSN 1367-4803. - 31:13(2015), p. 2199-201. [10.1093/bioinformatics/btv106]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/612046
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