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shortran: a pipeline for small RNA-seq data analysis

Summary: High-throughput sequencing currently generates a wealth of small RNA (sRNA) data, making data mining a topical issue. Processing of these large data sets is inherently multidimensional as length, abundance, sequence composition, and genomic location all hold clues to sRNA function. Analysis...

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Detalles Bibliográficos
Autores principales: Gupta, Vikas, Markmann, Katharina, Pedersen, Christian N. S., Stougaard, Jens, Andersen, Stig U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467745/
https://www.ncbi.nlm.nih.gov/pubmed/22914220
http://dx.doi.org/10.1093/bioinformatics/bts496
Descripción
Sumario:Summary: High-throughput sequencing currently generates a wealth of small RNA (sRNA) data, making data mining a topical issue. Processing of these large data sets is inherently multidimensional as length, abundance, sequence composition, and genomic location all hold clues to sRNA function. Analysis can be challenging because the formulation and testing of complex hypotheses requires combined use of visualization, annotation and abundance profiling. To allow flexible generation and querying of these disparate types of information, we have developed the shortran pipeline for analysis of plant or animal short RNA sequencing data. It comprises nine modules and produces both graphical and MySQL format output. Availability: shortran is freely available and can be downloaded from http://users-mb.au.dk/pmgrp/shortran/ Contact: vgupta@cs.au.dk or sua@mb.au.dk Supplementary information: Supplementary data are available at Bioinformatics online.