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PMID: 23610128 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

ShortStack: comprehensive annotation and quantification of small RNA genes.

RNA (New York, N.Y.) ·Vol. 19 ·No. 6 ·2013-06-00 ·Pages 740-51

Axtell MJ

Abstract

Small RNA sequencing allows genome-wide discovery, categorization, and quantification of genes producing regulatory small RNAs. Many tools have been described for annotation and quantification of microRNA loci (MIRNAs) from small RNA-seq data. However, in many organisms and tissue types, MIRNA genes comprise only a small fraction of all small RNA-producing genes. ShortStack is a stand-alone application that analyzes reference-aligned small RNA-seq data and performs comprehensive de novo annotation and quantification of the inferred small RNA genes. ShortStack's output reports multiple parameters of direct relevance to small RNA gene annotation, including RNA size distributions, repetitiveness, strandedness, hairpin-association, MIRNA annotation, and phasing. In this study, ShortStack is demonstrated to perform accurate annotations and useful descriptions of diverse small RNA genes from four plants (Arabidopsis, tomato, rice, and maize) and three animals (Drosophila, mice, and humans). ShortStack efficiently processes very large small RNA-seq data sets using modest computational resources, and its performance compares favorably to previously described tools. Annotation of MIRNA loci by ShortStack is highly specific in both plants and animals. ShortStack is freely available under a GNU General Public License.

Keywords
bioinformatics microRNA next-generation sequencing siRNA small RNA software
MeSH Terms
Animals Arabidopsis/genetics Base Sequence Computational Biology/methods Genes, Plant Genetic Loci Humans Mice MicroRNAs/genetics Molecular Sequence Annotation/methods RNA, Small Interfering/genetics Regulatory Sequences, Ribonucleic Acid Reproducibility of Results Sensitivity and Specificity Sequence Analysis, RNA/methods Software
Chemicals
MicroRNAs RNA, Small Interfering Regulatory Sequences, Ribonucleic Acid
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Axtell Michael J
Department of Biology, and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802, USA. [email protected]
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Article Info
Journal
RNA (New York, N.Y.)
Abbr.
RNA
ISSN
1469-9001
Published
2013-06-00
Epub
2013-00-22
Pages
740-51
Language
English
Region
United States
NLM ID
9509184
PMCID
PMC3683909
Subset
IM
Analysis Services
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