The Geogenomic Mutational Atlas of Pathogens

We present a new approach for pathogen surveillance we call Geogenomics. Geogenomics examines the geographic distribution of the genomes of pathogens, with a particular emphasis on those mutations that give rise to drug resistance. We engineered a new web system called Geogenomic Mutational Atlas of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2014-03, Vol.9 (3), p.e92877
Hauptverfasser: Sargeant, David P, Hedden, Michael W, Deverasetty, Sandeep, Strong, Christy L, Alaniz, Izua J, Bartlett, Alexandria N, Brandon, Nicholas R, Brooks, Steven B, Brown, Frederick A, Bufi, Flaviona, Chakarova, Monika, David, Roxanne P, Dobritch, Karlyn M, Guerra, Horacio P, Levit, Kelvy S, Mathew, Kiran R, Matti, Ray, Maza, Dorothea Q, Mistry, Sabyasachy, Novakovic, Nemanja, Pomerantz, Austin, Rafalski, Timothy F, Rathnayake, Viraj, Rezapour, Noura, Ross, Christian A, Schooler, Steve G, Songao, Sarah, Tuggle, Sean L, Wing, Helen J, Yousif, Sandy, Schiller, Martin R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We present a new approach for pathogen surveillance we call Geogenomics. Geogenomics examines the geographic distribution of the genomes of pathogens, with a particular emphasis on those mutations that give rise to drug resistance. We engineered a new web system called Geogenomic Mutational Atlas of Pathogens (GoMAP) that enables investigation of the global distribution of individual drug resistance mutations. As a test case we examined mutations associated with HIV resistance to FDA-approved antiretroviral drugs. GoMAP-HIV makes use of existing public drug resistance and HIV protein sequence data to examine the distribution of 872 drug resistance mutations in ~502,000 sequences for many countries in the world. We also implemented a broadened classification scheme for HIV drug resistance mutations. Several patterns for geographic distributions of resistance mutations were identified by visual mining using this web tool. GoMAP-HIV is an open access web application available at
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0092877