TY - JOUR
T1 - shortran
T2 - A pipeline for small RNA-seq data analysis
AU - Gupta, Vikas
AU - Markmann, Katharina
AU - Pedersen, Christian Nørgaard Storm
AU - Stougaard, Jens
AU - Andersen, Stig Uggerhøj
PY - 2012
Y1 - 2012
N2 - 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/Contacts: [email protected], [email protected] SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online.
AB - 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/Contacts: [email protected], [email protected] SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online.
U2 - 10.1093/bioinformatics/bts496
DO - 10.1093/bioinformatics/bts496
M3 - Journal article
C2 - 22914220
SN - 1367-4803
VL - 28
SP - 2698
EP - 2700
JO - Bioinformatics
JF - Bioinformatics
IS - 20
ER -