Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
PolyTB : a genomic variation map for Mycobacterium tuberculosis
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 2609226
Author(s) Coll, Francesc; Preston, Mark; Guerra-Assunção, José Afonso; Hill-Cawthorn, Grant; Harris, David; Perdigão, João; Viveiros, Miguel; Portugal, Isabel; Drobniewski, Francis; Gagneux, Sebastien; Glynn, Judith R; Pain, Arnab; Parkhill, Julian; McNerney, Ruth; Martin, Nigel; Clark, Taane G
Author(s) at UniBasel Gagneux, Sebastien
Year 2014
Title PolyTB : a genomic variation map for Mycobacterium tuberculosis
Journal Tuberculosis
Volume 94
Number 3
Pages / Article-Number 346-54
Keywords Mycobacterium tuberculosis, Database, Genomics, Software, Molecular epidemiology, Whole-genome sequencing
Abstract

Tuberculosis (TB) caused by Mycobacterium tuberculosis (Mtb) is the second major cause of death from an infectious disease worldwide. Recent advances in DNA sequencing are leading to the ability to generate whole genome information in clinical isolates of M. tuberculosis complex (MTBC). The identification of informative genetic variants such as phylogenetic markers and those associated with drug resistance or virulence will help barcode Mtb in the context of epidemiological, diagnostic and clinical studies. Mtb genomic datasets are increasingly available as raw sequences, which are potentially difficult and computer intensive to process, and compare across studies. Here we have processed the raw sequence data (>1500 isolates, eight studies) to compile a catalogue of SNPs (n = 74,039, 63% non-synonymous, 51.1% in more than one isolate, i.e. non-private), small indels (n = 4810) and larger structural variants (n = 800). We have developed the PolyTB web-based tool (http://pathogenseq.lshtm.ac.uk/polytb) to visualise the resulting variation and important meta-data (e.g. in silico inferred strain-types, location) within geographical map and phylogenetic views. This resource will allow researchers to identify polymorphisms within candidate genes of interest, as well as examine the genomic diversity and distribution of strains. PolyTB source code is freely available to researchers wishing to develop similar tools for their pathogen of interest.

Publisher Elsevier
ISSN/ISBN 1472-9792
edoc-URL http://edoc.unibas.ch/dok/A6271934
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.tube.2014.02.005
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/24637013
ISI-Number WOS:000335913700022
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.419 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
02/05/2024