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- 2016
MLVA_Normalizer: Workflow for Normalization of MLVA Profiles and Data Exchange between LaboratoriesDOI: 10.4172/jpb.1000385 Keywords: Paul Bachelerie, Arnaud Felten, Marie-Leone Vignaud, Benjamin Glasset, Carole Feurer, Renaud Lailler and Sabrina Cadel Six , MLVA, Workflow, Python 2.7 langage, Normalisation, Laboratory data exchange 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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