Mass Spectrometry Data Analysis in Proteomics:
Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlin...
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Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Totowa, NJ
Humana Press
2007
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Schriftenreihe: | Methods in Molecular Biology
367 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible |
Beschreibung: | 1 Online-Ressource (X, 320 p. 87 illus) |
ISBN: | 9781597452755 |
DOI: | 10.1385/1597452750 |
Internformat
MARC
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520 | |a Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible | ||
650 | 4 | |a Life Sciences | |
650 | 4 | |a Biochemistry, general | |
650 | 4 | |a Cell Biology | |
650 | 4 | |a Bioinformatics | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Matthiesen, Rune |
author2_role | edt |
author2_variant | r m rm |
author_facet | Matthiesen, Rune |
building | Verbundindex |
bvnumber | BV044951850 |
callnumber-first | Q - Science |
callnumber-label | QP519 |
callnumber-raw | QP519.9.M3 |
callnumber-search | QP519.9.M3 |
callnumber-sort | QP 3519.9 M3 |
callnumber-subject | QP - Physiology |
classification_rvk | VG 9800 WC 2600 WC 4150 |
classification_tum | CHE 254f CHE 828f |
collection | ZDB-2-PRO |
ctrlnum | (ZDB-2-PRO)978-1-59745-275-5 (OCoLC)712421428 (DE-599)BVBBV044951850 |
dewey-full | 572 572/.6 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 572 - Biochemistry |
dewey-raw | 572 572/.6 |
dewey-search | 572 572/.6 |
dewey-sort | 3572 |
dewey-tens | 570 - Biology |
discipline | Chemie / Pharmazie Biologie Chemie |
doi_str_mv | 10.1385/1597452750 |
format | Electronic eBook |
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id | DE-604.BV044951850 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:05:36Z |
institution | BVB |
isbn | 9781597452755 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030344606 |
oclc_num | 712421428 |
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owner_facet | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (X, 320 p. 87 illus) |
psigel | ZDB-2-PRO |
publishDate | 2007 |
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publisher | Humana Press |
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spelling | Mass Spectrometry Data Analysis in Proteomics edited by Rune Matthiesen Totowa, NJ Humana Press 2007 1 Online-Ressource (X, 320 p. 87 illus) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 367 Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible Life Sciences Biochemistry, general Cell Biology Bioinformatics Biotechnology Proteomics Life sciences Biochemistry Cell biology Proteomanalyse (DE-588)4596545-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Massenspektrometrie (DE-588)4037882-2 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Proteomanalyse (DE-588)4596545-6 s Massenspektrometrie (DE-588)4037882-2 s Datenanalyse (DE-588)4123037-1 s b DE-604 Matthiesen, Rune edt Erscheint auch als Druck-Ausgabe 9781588295637 https://doi.org/10.1385/1597452750 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Mass Spectrometry Data Analysis in Proteomics Life Sciences Biochemistry, general Cell Biology Bioinformatics Biotechnology Proteomics Life sciences Biochemistry Cell biology Proteomanalyse (DE-588)4596545-6 gnd Datenanalyse (DE-588)4123037-1 gnd Massenspektrometrie (DE-588)4037882-2 gnd |
subject_GND | (DE-588)4596545-6 (DE-588)4123037-1 (DE-588)4037882-2 (DE-588)4143413-4 |
title | Mass Spectrometry Data Analysis in Proteomics |
title_auth | Mass Spectrometry Data Analysis in Proteomics |
title_exact_search | Mass Spectrometry Data Analysis in Proteomics |
title_full | Mass Spectrometry Data Analysis in Proteomics edited by Rune Matthiesen |
title_fullStr | Mass Spectrometry Data Analysis in Proteomics edited by Rune Matthiesen |
title_full_unstemmed | Mass Spectrometry Data Analysis in Proteomics edited by Rune Matthiesen |
title_short | Mass Spectrometry Data Analysis in Proteomics |
title_sort | mass spectrometry data analysis in proteomics |
topic | Life Sciences Biochemistry, general Cell Biology Bioinformatics Biotechnology Proteomics Life sciences Biochemistry Cell biology Proteomanalyse (DE-588)4596545-6 gnd Datenanalyse (DE-588)4123037-1 gnd Massenspektrometrie (DE-588)4037882-2 gnd |
topic_facet | Life Sciences Biochemistry, general Cell Biology Bioinformatics Biotechnology Proteomics Life sciences Biochemistry Cell biology Proteomanalyse Datenanalyse Massenspektrometrie Aufsatzsammlung |
url | https://doi.org/10.1385/1597452750 |
work_keys_str_mv | AT matthiesenrune massspectrometrydataanalysisinproteomics |