跳至主導覽 跳至搜尋 跳過主要內容

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
  • *此作品的通信作者
  • National Tsing Hua University
  • La Trobe University
  • National Yang Ming Chiao Tung University
  • China Medical University Taichung
  • Providence University Taiwan

研究成果: 期刊稿件文章同行評審

16 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)114-123
頁數10
期刊Gene
518
發行號1
DOIs
出版狀態已出版 - 10 04 2013
對外發佈

指紋

深入研究「GI-POP: A combinational annotation and genomic island prediction pipeline for ongoing microbial genome projects」主題。共同形成了獨特的指紋。

引用此