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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
  • National Tsing Hua University
  • La Trobe University
  • National Yang Ming Chiao Tung University
  • China Medical University Taichung
  • Providence University Taiwan

Research output: Contribution to journal › Journal Article › peer-review

16 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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