Literature DB >> 25953799

IonGAP: integrative bacterial genome analysis for Ion Torrent sequence data.

Adrian Baez-Ortega1, Fabian Lorenzo-Diaz2, Mariano Hernandez3, Carlos Ignacio Gonzalez-Vila1, Jose Luis Roda-Garcia4, Marcos Colebrook4, Carlos Flores5.   

Abstract

UNLABELLED: 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.
AVAILABILITY AND IMPLEMENTATION: IonGAP is hosted by the ITER's Teide-HPC supercomputer and is freely available on the Web for non-commercial use at http://iongap.hpc.iter.es. CONTACT: mcolesan@ull.edu.es or cflores@ull.edu.es SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2015        PMID: 25953799     DOI: 10.1093/bioinformatics/btv283

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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