Integrating omics data:
In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologi...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UER01 Volltext |
| Zusammenfassung: | In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data |
| Beschreibung: | 1 online resource (x, 461 pages) |
| ISBN: | 9781107706484 |
| DOI: | 10.1017/CBO9781107706484 |
Internformat
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| 520 | |a In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data | ||
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Datensatz im Suchindex
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| author | Tseng, George Ghosh, Debashis Zhou, Xianghong Jasmine |
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| dewey-full | 572.8/6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 572 - Biochemistry |
| dewey-raw | 572.8/6 |
| dewey-search | 572.8/6 |
| dewey-sort | 3572.8 16 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/CBO9781107706484 |
| format | Electronic eBook |
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| id | DE-604.BV043940453 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:13Z |
| institution | BVB |
| isbn | 9781107706484 |
| language | English |
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| physical | 1 online resource (x, 461 pages) |
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| publisher | Cambridge University Press |
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| spelling | Tseng, George Verfasser (DE-588)1103591207 aut Integrating omics data George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine Zhou, University of Southern California Cambridge Cambridge University Press 2015 1 online resource (x, 461 pages) txt rdacontent c rdamedia cr rdacarrier In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data Genomics / Statistical methods Meta-analysis Ghosh, Debashis Verfasser (DE-588)1103591983 aut Zhou, Xianghong Jasmine Verfasser (DE-588)1103592491 aut Erscheint auch als Druck-Ausgabe 978-1-107-06911-4 Erscheint auch als Druck-Ausgabe 978-1-107-69757-7 https://doi.org/10.1017/CBO9781107706484 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Tseng, George Ghosh, Debashis Zhou, Xianghong Jasmine Integrating omics data Genomics / Statistical methods Meta-analysis |
| title | Integrating omics data |
| title_auth | Integrating omics data |
| title_exact_search | Integrating omics data |
| title_full | Integrating omics data George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine Zhou, University of Southern California |
| title_fullStr | Integrating omics data George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine Zhou, University of Southern California |
| title_full_unstemmed | Integrating omics data George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine Zhou, University of Southern California |
| title_short | Integrating omics data |
| title_sort | integrating omics data |
| topic | Genomics / Statistical methods Meta-analysis |
| topic_facet | Genomics / Statistical methods Meta-analysis |
| url | https://doi.org/10.1017/CBO9781107706484 |
| work_keys_str_mv | AT tsenggeorge integratingomicsdata AT ghoshdebashis integratingomicsdata AT zhouxianghongjasmine integratingomicsdata |