IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data
Author(s) -
Adrian BaezOrtega,
Fabián Lorenzo-Díaz,
Mariano Hernández,
Carlos Ignacio Gonzalez-Vila,
José Luis Roda García,
Marcos Colebrook,
Carlos Flores
Publication year - 2015
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/btv283
Subject(s) - ion semiconductor sequencing , sequence (biology) , computational biology , genome , whole genome sequencing , sequence analysis , computer science , biology , genetics , dna sequencing , gene
We introduce IonGAP, a publicly available Web platform designed for the analysis of whole bacterial genomes using Ion Torrent sequence data. Besides assembly, it integrates a variety of comparative genomics, annotation and bacterial classification routines, based on the widely used FASTQ, BAM and SRA file formats. Benchmarking with different datasets evidenced that IonGAP is a fast, powerful and simple-to-use bioinformatics tool. By releasing this platform, we aim to translate low-cost bacterial genome analysis for microbiological prevention and control in healthcare, agroalimentary and pharmaceutical industry applications.
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