Prediction of Mycobacterium Tuberculosis Lineages from Annotated Whole Genome Sequences: An Evolutionary Approach
Author:
Affiliation:
1. University of French West Indies,LAMIA Laboratory,Guadeloupe,France
2. Tuberculosis and Mycobacteria Unit Institut Pasteur,Guadeloupe,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612150.pdf?arnumber=10612150
Reference17 articles.
1. Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
2. Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis
3. Prokka: rapid prokaryotic genome annotation
4. Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families
5. Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology
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