Literature DB >> 19828741

New multiplatform computer program for numerical identification of microorganisms.

Oscar Flores1, Lluís A Belanche, Anicet R Blanch.   

Abstract

The classification of bacteria by using genomic methods or expensive biochemical-based commercial kits is sometimes beyond the reach of many laboratories that need to perform numerous classifications of unknown bacterial strains in a fast, cheap, and reliable way. A new computer program, Identax, for the computer-assisted identification of microorganisms by using only results obtained from conventional biochemical tests is presented. Identax improves current microbial identification software and provides a multiplatform and user-friendly program. It can be executed from any operating system and can be downloaded without any cost from the Identax website (www.identax.org).

Mesh:

Year:  2009        PMID: 19828741      PMCID: PMC2786652          DOI: 10.1128/JCM.01250-09

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  17 in total

1.  Report of the ad hoc committee for the re-evaluation of the species definition in bacteriology.

Authors:  Erko Stackebrandt; Wilhelm Frederiksen; George M Garrity; Patrick A D Grimont; Peter Kämpfer; Martin C J Maiden; Xavier Nesme; Ramon Rosselló-Mora; Jean Swings; Hans G Trüper; Luc Vauterin; Alan C Ward; William B Whitman
Journal:  Int J Syst Evol Microbiol       Date:  2002-05       Impact factor: 2.747

2.  Identification of Vibrio spp. with a set of dichotomous keys.

Authors:  I Noguerola; A R Blanch
Journal:  J Appl Microbiol       Date:  2008-01-31       Impact factor: 3.772

3.  Numerical classification of species of Vibrio and related genera.

Authors:  T N Bryant; J V Lee; P A West; R R Colwell
Journal:  J Appl Bacteriol       Date:  1986-11

4.  Computer-aided numerical identification of gram negative fermentative rods on a desk-top computer.

Authors:  J Schindler; J Duben; O Lysenko
Journal:  J Appl Bacteriol       Date:  1979-08

5.  Identification of bacteria by computer: identification of reference strains.

Authors:  S Bascomb; S P Lapage; M A Curtis; W R Willcox
Journal:  J Gen Microbiol       Date:  1973-08

6.  Identification of bacteria by computer: general aspects and perspectives.

Authors:  S P Lapage; S Bascomb; W R Willcox; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

7.  Identification of bacteria by computer: theory and programming.

Authors:  W R Willcox; S P Lapage; S Bascomb; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

8.  Conditional probability and the identification of bacteria: a pilot study.

Authors:  W Dybowski; D A Franklin
Journal:  J Gen Microbiol       Date:  1968-12

9.  Numerical approach to reference identification of Staphylococcus, Stomatococcus, and Micrococcus spp.

Authors:  D L Rhoden; G A Hancock; J M Miller
Journal:  J Clin Microbiol       Date:  1993-03       Impact factor: 5.948

10.  Evaluation of API Coryne in comparison with conventional methods for identifying coryneform bacteria.

Authors:  J Freney; M T Duperron; C Courtier; W Hansen; F Allard; J M Boeufgras; D Monget; J Fleurette
Journal:  J Clin Microbiol       Date:  1991-01       Impact factor: 5.948

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  1 in total

1.  Green Chemistry Based Gold Nanoparticles Synthesis Using the Marine Bacterium Lysinibacillus odysseyi PBCW2 and Their Multitudinous Activities.

Authors:  Tijo Cherian; Debasis Maity; Ramasamy T Rajendra Kumar; Govindasamy Balasubramani; Chinnasamy Ragavendran; Suneelkumar Yalla; Raju Mohanraju; Willie J G M Peijnenburg
Journal:  Nanomaterials (Basel)       Date:  2022-08-26       Impact factor: 5.719

  1 in total

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