Proteome Bioinformatics:
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...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2017
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Schriftenreihe: | Methods in Molecular Biology
1549 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (XI, 233 p. 51 illus., 40 illus. in color) |
ISBN: | 9781493967407 |
DOI: | 10.1007/978-1-4939-6740-7 |
Internformat
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Datensatz im Suchindex
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author2 | Keerthikumar, Shivakumar Mathivanan, Suresh |
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isbn | 9781493967407 |
language | English |
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physical | 1 Online-Ressource (XI, 233 p. 51 illus., 40 illus. in color) |
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publisher | Springer New York |
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series2 | Methods in Molecular Biology |
spelling | Proteome Bioinformatics edited by Shivakumar Keerthikumar, Suresh Mathivanan New York, NY Springer New York 2017 1 Online-Ressource (XI, 233 p. 51 illus., 40 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1549 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 Life Sciences Bioinformatics Life sciences Keerthikumar, Shivakumar edt Mathivanan, Suresh edt Erscheint auch als Druck-Ausgabe 9781493967384 https://doi.org/10.1007/978-1-4939-6740-7 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Proteome Bioinformatics Life Sciences Bioinformatics Life sciences |
title | Proteome Bioinformatics |
title_auth | Proteome Bioinformatics |
title_exact_search | Proteome Bioinformatics |
title_full | Proteome Bioinformatics edited by Shivakumar Keerthikumar, Suresh Mathivanan |
title_fullStr | Proteome Bioinformatics edited by Shivakumar Keerthikumar, Suresh Mathivanan |
title_full_unstemmed | Proteome Bioinformatics edited by Shivakumar Keerthikumar, Suresh Mathivanan |
title_short | Proteome Bioinformatics |
title_sort | proteome bioinformatics |
topic | Life Sciences Bioinformatics Life sciences |
topic_facet | Life Sciences Bioinformatics Life sciences |
url | https://doi.org/10.1007/978-1-4939-6740-7 |
work_keys_str_mv | AT keerthikumarshivakumar proteomebioinformatics AT mathivanansuresh proteomebioinformatics |