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ISEScan: automated identification of insertion sequence elements in prokaryotic genomes
Author(s) -
Zhiqun Xie,
Haixu Tang
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx433
Subject(s) - annotation , genome , genome project , python (programming language) , transposable element , computational biology , pipeline (software) , computer science , ensembl , software , biology , identification (biology) , bacterial genome size , source code , gene annotation , genomics , genetics , gene , programming language , botany
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.

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