Data Mining in Proteomics: From Standards to Applications
Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Totowa, NJ
Humana Press
2011
|
| Schriftenreihe: | Methods in Molecular Biology, Methods and Protocols
696 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 Volltext |
| Zusammenfassung: | Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond |
| Beschreibung: | 1 Online-Ressource (XII, 420 p. 145 illus., 2 illus. in color) |
| ISBN: | 9781607619871 |
| DOI: | 10.1007/978-1-60761-987-1 |
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| spelling | Data Mining in Proteomics From Standards to Applications edited by Michael Hamacher, Martin Eisenacher, Christian Stephan Totowa, NJ Humana Press 2011 1 Online-Ressource (XII, 420 p. 145 illus., 2 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology, Methods and Protocols 696 Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond Life Sciences Protein Science Life sciences Proteins Bioinformatik (DE-588)4611085-9 gnd rswk-swf Proteomanalyse (DE-588)4596545-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Proteomanalyse (DE-588)4596545-6 s Bioinformatik (DE-588)4611085-9 s 2\p DE-604 Hamacher, Michael edt Eisenacher, Martin edt Stephan, Christian edt Erscheint auch als Druck-Ausgabe 9781607619864 https://doi.org/10.1007/978-1-60761-987-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Data Mining in Proteomics From Standards to Applications Life Sciences Protein Science Life sciences Proteins Bioinformatik (DE-588)4611085-9 gnd Proteomanalyse (DE-588)4596545-6 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4596545-6 (DE-588)4143413-4 |
| title | Data Mining in Proteomics From Standards to Applications |
| title_auth | Data Mining in Proteomics From Standards to Applications |
| title_exact_search | Data Mining in Proteomics From Standards to Applications |
| title_full | Data Mining in Proteomics From Standards to Applications edited by Michael Hamacher, Martin Eisenacher, Christian Stephan |
| title_fullStr | Data Mining in Proteomics From Standards to Applications edited by Michael Hamacher, Martin Eisenacher, Christian Stephan |
| title_full_unstemmed | Data Mining in Proteomics From Standards to Applications edited by Michael Hamacher, Martin Eisenacher, Christian Stephan |
| title_short | Data Mining in Proteomics |
| title_sort | data mining in proteomics from standards to applications |
| title_sub | From Standards to Applications |
| topic | Life Sciences Protein Science Life sciences Proteins Bioinformatik (DE-588)4611085-9 gnd Proteomanalyse (DE-588)4596545-6 gnd |
| topic_facet | Life Sciences Protein Science Life sciences Proteins Bioinformatik Proteomanalyse Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-60761-987-1 |
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