4.7 Article

ISEScan: automated identification of insertion sequence elements in prokaryotic genomes

Journal

BIOINFORMATICS
Volume 33, Issue 21, Pages 3340-3347

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx433

Keywords

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Funding

  1. National Science Foundation [DBI-1262588]
  2. Lilly Endowment, Inc., through its support for the Indiana University Pervasive Technology Institute
  3. Indiana METACyt Initiative
  4. Lilly Endowment, Inc.
  5. Div Of Biological Infrastructure
  6. Direct For Biological Sciences [1262588] Funding Source: National Science Foundation

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Motivation: The insertion sequence (IS) elements are the smallest but most abundant autonomous transposable elements in prokaryotic genomes, which play a key role in prokaryotic genome organization and evolution. With the fast growing genomic data, it is becoming increasingly critical for biology researchers to be able to accurately and automatically annotate ISs in prokaryotic genome sequences. The available automatic IS annotation systems are either providing only incomplete IS annotation or relying on the availability of existing genome annotations. Here, we present a new IS elements annotation pipeline to address these issues. Results: ISEScan is a highly sensitive software pipeline based on profile hidden Markov models constructed from manually curated IS elements. ISEScan performs better than existing IS annotation systems when tested on prokaryotic genomes with curated annotations of IS elements. Applying it to 2784 prokaryotic genomes, we report the global distribution of IS families across taxonomic clades in Archaea and Bacteria.

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