Workflow for a Computational Analysis of an sRNA Candidate in Bacteria

  • Patrick R. Wright
  • Jens GeorgEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1737)


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.


Computational methods sRNA conservation Target prediction Functional characterization Cyanobacteria IsaR1 


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Copyright information

© Springer Science+Business Media, LLC 2018

Authors and Affiliations

  1. 1.Bioinformatics Group, Department of Computer ScienceUniversity of FreiburgFreiburg im BreisgauGermany
  2. 2.Genetics and Experimental Bioinformatics, Faculty of BiologyInstitute of Biology III, University of FreiburgFreiburg im BreisgauGermany

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