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