GI-POP: A combinational annotation and genomic island prediction pipeline for ongoing microbial genome projects

Chi Ching Lee, Yi Ping Phoebe Chen, Tzu Jung Yao, Cheng Yu Ma, Wei Cheng Lo, Ping Chiang Lyu*, Chuan Yi Tang

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

15 Scopus citations

Abstract

Sequencing of microbial genomes is important because of microbial-carrying antibiotic and pathogenetic activities. However, even with the help of new assembling software, finishing a whole genome is a time-consuming task. In most bacteria, pathogenetic or antibiotic genes are carried in genomic islands. Therefore, a quick genomic island (GI) prediction method is useful for ongoing sequencing genomes. In this work, we built a Web server called GI-POP (http://gipop.life.nthu.edu.tw) which integrates a sequence assembling tool, a functional annotation pipeline, and a high-performance GI predicting module, in a support vector machine (SVM)-based method called genomic island genomic profile scanning (GI-GPS). The draft genomes of the ongoing genome projects in contigs or scaffolds can be submitted to our Web server, and it provides the functional annotation and highly probable GI-predicting results. GI-POP is a comprehensive annotation Web server designed for ongoing genome project analysis. Researchers can perform annotation and obtain pre-analytic information include possible GIs, coding/non-coding sequences and functional analysis from their draft genomes. This pre-analytic system can provide useful information for finishing a genome sequencing project.

Original languageEnglish
Pages (from-to)114-123
Number of pages10
JournalGene
Volume518
Issue number1
DOIs
StatePublished - 10 04 2013
Externally publishedYes

Keywords

  • Genome annotation
  • Genomic island
  • Microorganism
  • Ongoing genome project
  • Web server

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