Proteome Bioinformatics (Paperback)

Shivakumar Keerthikumar

ISBN 10: 1493982885 / ISBN 13: 9781493982882

Editore: Humana Press Inc., Totowa, NJ, 2018

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Paperback. This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results. Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics. This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9781493982882

Dati bibliografici

• Titolo: Proteome Bioinformatics (Paperback)
• Editore: Humana Press Inc., Totowa, NJ
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1493982885
• ISBN 13: 9781493982882
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results. 

Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics.