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ABSTRACT: Background
The insertion sequence elements (IS elements) represent the smallest and the most abundant mobile elements in prokaryotic genomes. It has been shown that they play a significant role in genome organization and evolution. To better understand their function in the host genome, it is desirable to have an effective detection and annotation tool. This need becomes even more crucial when considering rapid-growing genomic and metagenomic data. The existing tools for IS elements detection and annotation are usually based on comparing sequence similarity with a database of known IS families. Thus, they have limited ability to discover distant and putative novel IS elements.Results
In this paper, we present digIS, a software tool based on profile hidden Markov models asse
SUBMITTER: Puterova J
PROVIDER: S-EPMC8147514 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature