alexa MLVA_Normalizer: Workflow for Normalization of MLVA Pro
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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MLVA_Normalizer: Workflow for Normalization of MLVA Profiles and Data Exchange between Laboratories

Paul Bachelerie1, Arnaud Felten2, Marie-Léone Vignaud1, Benjamin Glasset1, Carole Feurer3, Renaud Lailler1 and Sabrina Cadel Six1*

1Université PARIS-EST, ANSES, Laboratory for Food Safety, Listeria, Salmonella, E. coli Unit, 14 rue Pierre et Marie Curie, 94701 Maisons Alfort, France

2Université PARIS-EST, ANSES, Laboratory for Food Safety, Modelling and Quantitative Risk Assessment Unit, 14 rue Pierre et Marie Curie, 94701 Maisons Alfort, France

3French Pig and Pork Institute, 7 Avenue du Général de Gaulle, 94700 Maisons-Alfort, France

*Corresponding Author:
Sabrina Cadel Six
Université PARIS-EST, ANSES
Laboratory for Food Safety, Listeria
Salmonella, E. coli Unit, 14 rue Pierre et Marie Curie
94701 Maisons Alfort, France
Tel: +33 1 49 77 27 19
E-mail: [email protected]

Received Date: December 17, 2015 Accepted Date: February 03, 2016 Published Date: February 06, 2016

Citation: Bachelerie P, Felten A, Vignaud ML, Glasset B, Feurer C, et al. (2016) MLVA_Normalizer: Workflow for Normalization of MLVA Profiles and Data Exchange between Laboratories. J Proteomics Bioinform 9:025-027. doi:10.4172/jpb.1000385

Copyright: © 2016 Bachelerie P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Motivation: MLVA (Multiple Loci VNTR Analysis) is a typing method used today to characterize several major pathogens such as Brucella, Mycobacterium tuberculosis or Salmonella. It takes advantage from the comparison of the size of specific genomic loci constituted by tandem repeat sequences. Unfortunately the raw size estimate is instrument dependent and consequently the results obtained cannot be compared without normalization between laboratories involved in disease monitoring, surveillance and official controls.

Results: To overcome this problem we developed a workflow tool, MLVA_normalizer, conceived to normalize MLVA results. This normalization workflow tool is designed to be applied to any bacterial genera and does not depend on the MLVA protocol used.

Availability: MLVA_normalizer is available under the GNU general public license (version 2, June 1991). Source code is available at: https://github.com/afelten-Anses/MLVA_normalizer.

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