MicroRNAs and other small RNAs are known to
play important functions in gene regulation. Over the last
years, it became also apparent that many virus genomes
encode microRNAs and that those strongly interact with
the host transcriptome. Important functions include
the evasion of the immune response and the regulation
of the switch to lytic infection. Since the advent of deep
sequencing protocols for small RNAs, expression profiles
can be routinely determined. However, currently the
tools developed for the data analysis of small RNA deep
sequencing experiments are limited to the analysis of only
one species at a time. In order to facilitate the analysis of
experimental setups that include genetic material from
several species, we developed sRNAbench. It maintains
the main features implemented in its predecessor program,
miRanalyzer, and includes new functionalities such as full
isomiR support including statistical test on differential
frequency, improved prediction of novel microRNAs,
extended summary files and data visualization support.
Both a standalone program and a webserver are available
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