Data mining techniques for the life sciences:
Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Totowa, NJ
Humana Press
2010
|
| Schriftenreihe: | Methods in Molecular Biology, Methods and Protocols
609 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
| Zusammenfassung: | Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In Data Mining Techniques for the Life Sciences, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume 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 easy to reference, Data Mining Techniques for the Life Sciences seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the vital world of biological databases and their many applications |
| Beschreibung: | 1 Online-Ressource (XII, 408 p. 89 illus) |
| ISBN: | 9781603272414 |
| DOI: | 10.1007/978-1-60327-241-4 |
Internformat
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| spelling | Data mining techniques for the life sciences edited by Oliviero Carugo, Frank Eisenhaber Data-mining techniques for the life sciences Totowa, NJ Humana Press 2010 1 Online-Ressource (XII, 408 p. 89 illus) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology, Methods and Protocols 609 Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In Data Mining Techniques for the Life Sciences, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume 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 easy to reference, Data Mining Techniques for the Life Sciences seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the vital world of biological databases and their many applications Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Data Mining (DE-588)4428654-5 gnd rswk-swf Biowissenschaften (DE-588)4129772-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Biowissenschaften (DE-588)4129772-6 s Data Mining (DE-588)4428654-5 s DE-604 Carugo, Oliviero edt Eisenhaber, Frank edt Erscheint auch als Druck-Ausgabe 9781603272407 https://doi.org/10.1007/978-1-60327-241-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Data mining techniques for the life sciences Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Data Mining (DE-588)4428654-5 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4129772-6 (DE-588)4143413-4 |
| title | Data mining techniques for the life sciences |
| title_alt | Data-mining techniques for the life sciences |
| title_auth | Data mining techniques for the life sciences |
| title_exact_search | Data mining techniques for the life sciences |
| title_full | Data mining techniques for the life sciences edited by Oliviero Carugo, Frank Eisenhaber |
| title_fullStr | Data mining techniques for the life sciences edited by Oliviero Carugo, Frank Eisenhaber |
| title_full_unstemmed | Data mining techniques for the life sciences edited by Oliviero Carugo, Frank Eisenhaber |
| title_short | Data mining techniques for the life sciences |
| title_sort | data mining techniques for the life sciences |
| topic | Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Data Mining (DE-588)4428654-5 gnd Biowissenschaften (DE-588)4129772-6 gnd |
| topic_facet | Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Data Mining Biowissenschaften Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-60327-241-4 |
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