shortran: a pipeline for small RNA-seq data analysis
Author(s) -
Vikas Gupta,
Katharina Markmann,
Christian N. S. Pedersen,
Jens Stougaard,
Stig Uggerhøj Andersen
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts496
Subject(s) - rna seq , pipeline (software) , computer science , computational biology , data mining , biology , programming language , transcriptome , genetics , gene , gene expression
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.
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