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Workflow for a Computational Analysis of an sRNA Candidate in Bacteria.

Authors :
Wright PR
Georg J
Source :
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2018; Vol. 1737, pp. 3-30.
Publication Year :
2018

Abstract

Computational methods can often facilitate the functional characterization of individual sRNAs and furthermore allow high-throughput analysis on large numbers of sRNA candidates. This chapter outlines a potential workflow for computational sRNA analyses and describes in detail methods for homolog detection, target prediction, and functional characterization based on enrichment analysis. The cyanobacterial sRNA IsaR1 is used as a specific example. All methods are available as webservers and easily accessible for nonexpert users.

Details

Language :
English
ISSN :
1940-6029
Volume :
1737
Database :
MEDLINE
Journal :
Methods in molecular biology (Clifton, N.J.)
Publication Type :
Academic Journal
Accession number :
29484584
Full Text :
https://doi.org/10.1007/978-1-4939-7634-8_1