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Wikipedia

BioNumerics

BioNumerics is a bioinformatics desktop software application that manages microbiological data. It is developed by Applied Maths NV, a bioMérieux company.

History edit

BioNumerics was first released in 1998. PulseNet, a network run by the Centers for Disease Control and Prevention (CDC), uses BioNumerics to compare pulsed field gel electrophoresis (PFGE) patterns and whole genome sequences from different bacterial strains.[1][2] CaliciNet, an outbreak surveillance network for noroviruses, is another example of a network which uses BioNumerics to submit norovirus sequences and basic epidemiologic information to a central database.[3]  

Features edit

The basis of BioNumerics is a database consisting of entries. The entries correspond to the individual organisms or samples under study and are characterized by a unique key and by a number of user-defined information fields. Each entry in a database may be characterized by one or more experiments that can be linked easily to the entry.[4] In BioNumerics, experiments are divided in seven classes:  fingerprints, spectra, characters, sequences, sequence read sets, trend data and matrices.

Examples of BioNumerics applications are whole genome Multi Locus Sequence Typing (wgMLST), whole genome Single Nucleotide Polymorphisms (wgSNP), genome comparison, identification based on MALDI-TOF Mass Spectrometry, PFGE typing, Amplified Fragment Length Polymorphism (AFLP) typing, sequence-based typing of viruses, antibiotic resistance profiling and functional genotyping.[5][6][7]

References edit

  1. ^ BioNumerics protocols used by Pulsenet December 6, 2011, at the Wayback Machine
  2. ^ Hunter SB, Vauterin P, Lambert-Fair MA, Van Duyne MS, Kubota K, Graves L, et al. (March 2005). "Establishment of a universal size standard strain for use with the PulseNet standardized pulsed-field gel electrophoresis protocols: converting the national databases to the new size standard". Journal of Clinical Microbiology. 43 (3): 1045–50. doi:10.1128/JCM.43.3.1045-1050.2005. PMC 1081233. PMID 15750058.
  3. ^ Vega E, Barclay L, Gregoricus N, Williams K, Lee D, Vinjé J (August 2011). "Novel surveillance network for norovirus gastroenteritis outbreaks, United States". Emerging Infectious Diseases. 17 (8): 1389–95. doi:10.3201/eid1708.101837. PMC 3381557. PMID 21801614.
  4. ^ Vauterin L, Vauterin P. Integrated databasing and analysis. In: Molecular Identification, Systematics, and Population Structure of Prokaryotes (ed. Erko Stackebrandt). Springer, 2006. ISBN 978-3-540-23155-4
  5. ^ Schouls LM, Spalburg EC, van Luit M, Huijsdens XW, Pluister GN, van Santen-Verheuvel MG, et al. (2009-04-03). "Multiple-locus variable number tandem repeat analysis of Staphylococcus aureus: comparison with pulsed-field gel electrophoresis and spa-typing". PLOS ONE. 4 (4): e5082. Bibcode:2009PLoSO...4.5082S. doi:10.1371/journal.pone.0005082. PMC 2661140. PMID 19343175.
  6. ^ "Polyphasic study of wine Lactobacillus strains: taxonomic implications". archive.ph. 2012-07-14. Archived from the original on 2012-07-14. Retrieved 2021-04-15.
  7. ^ Gröschel MI, Meehan CJ, Barilar I, Diricks M, Gonzaga A, Steglich M, et al. (2019-08-28). "The global phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia". bioRxiv: 748954. doi:10.1101/748954.

External links edit

  • Applied Maths’ official website
  • Scientific articles using BioNumerics

bionumerics, bioinformatics, desktop, software, application, that, manages, microbiological, data, developed, applied, maths, biomérieux, company, developer, applied, maths, stable, release8, 0operating, systemwindowsplatformc, pythontypebioinformaticslicensec. BioNumerics is a bioinformatics desktop software application that manages microbiological data It is developed by Applied Maths NV a bioMerieux company BioNumericsDeveloper s Applied Maths N V Stable release8 0Operating systemWindowsPlatformC PythonTypeBioinformaticsLicensecommercialWebsitehttp www applied maths com Contents 1 History 2 Features 3 References 4 External linksHistory editBioNumerics was first released in 1998 PulseNet a network run by the Centers for Disease Control and Prevention CDC uses BioNumerics to compare pulsed field gel electrophoresis PFGE patterns and whole genome sequences from different bacterial strains 1 2 CaliciNet an outbreak surveillance network for noroviruses is another example of a network which uses BioNumerics to submit norovirus sequences and basic epidemiologic information to a central database 3 Features editThe basis of BioNumerics is a database consisting of entries The entries correspond to the individual organisms or samples under study and are characterized by a unique key and by a number of user defined information fields Each entry in a database may be characterized by one or more experiments that can be linked easily to the entry 4 In BioNumerics experiments are divided in seven classes fingerprints spectra characters sequences sequence read sets trend data and matrices Examples of BioNumerics applications are whole genome Multi Locus Sequence Typing wgMLST whole genome Single Nucleotide Polymorphisms wgSNP genome comparison identification based on MALDI TOF Mass Spectrometry PFGE typing Amplified Fragment Length Polymorphism AFLP typing sequence based typing of viruses antibiotic resistance profiling and functional genotyping 5 6 7 References edit BioNumerics protocols used by Pulsenet Archived December 6 2011 at the Wayback Machine Hunter SB Vauterin P Lambert Fair MA Van Duyne MS Kubota K Graves L et al March 2005 Establishment of a universal size standard strain for use with the PulseNet standardized pulsed field gel electrophoresis protocols converting the national databases to the new size standard Journal of Clinical Microbiology 43 3 1045 50 doi 10 1128 JCM 43 3 1045 1050 2005 PMC 1081233 PMID 15750058 Vega E Barclay L Gregoricus N Williams K Lee D Vinje J August 2011 Novel surveillance network for norovirus gastroenteritis outbreaks United States Emerging Infectious Diseases 17 8 1389 95 doi 10 3201 eid1708 101837 PMC 3381557 PMID 21801614 Vauterin L Vauterin P Integrated databasing and analysis In Molecular Identification Systematics and Population Structure of Prokaryotes ed Erko Stackebrandt Springer 2006 ISBN 978 3 540 23155 4 Schouls LM Spalburg EC van Luit M Huijsdens XW Pluister GN van Santen Verheuvel MG et al 2009 04 03 Multiple locus variable number tandem repeat analysis of Staphylococcus aureus comparison with pulsed field gel electrophoresis and spa typing PLOS ONE 4 4 e5082 Bibcode 2009PLoSO 4 5082S doi 10 1371 journal pone 0005082 PMC 2661140 PMID 19343175 Polyphasic study of wine Lactobacillus strains taxonomic implications archive ph 2012 07 14 Archived from the original on 2012 07 14 Retrieved 2021 04 15 Groschel MI Meehan CJ Barilar I Diricks M Gonzaga A Steglich M et al 2019 08 28 The global phylogenetic landscape and nosocomial spread of the multidrug resistant opportunist Stenotrophomonas maltophilia bioRxiv 748954 doi 10 1101 748954 External links editApplied Maths official website Scientific articles using BioNumerics Retrieved from https en wikipedia org w index php title BioNumerics amp oldid 1094278463, wikipedia, wiki, book, books, library,

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