Protein Function Prediction: Methods and Protocols
This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2017
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| Schriftenreihe: | Methods in Molecular Biology
1611 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 URL des Erstveröffentlichers |
| Zusammenfassung: | This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Protein Function Prediction: Methods and Protocols is a valuable and practical guide for using bioinformatics tools for investigating protein function</p> |
| Beschreibung: | 1 Online-Ressource (X, 239 p. 82 illus., 71 illus. in color) |
| ISBN: | 9781493970155 |
| DOI: | 10.1007/978-1-4939-7015-5 |
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| discipline | Biologie |
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| institution | BVB |
| isbn | 9781493970155 |
| language | English |
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| spelling | Protein Function Prediction Methods and Protocols edited by Daisuke Kihara New York, NY Springer New York 2017 1 Online-Ressource (X, 239 p. 82 illus., 71 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1611 This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Protein Function Prediction: Methods and Protocols is a valuable and practical guide for using bioinformatics tools for investigating protein function</p> Life Sciences Protein Science Life sciences Proteins Kihara, Daisuke edt Erscheint auch als Druck-Ausgabe 9781493970131 https://doi.org/10.1007/978-1-4939-7015-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Protein Function Prediction Methods and Protocols Life Sciences Protein Science Life sciences Proteins |
| title | Protein Function Prediction Methods and Protocols |
| title_auth | Protein Function Prediction Methods and Protocols |
| title_exact_search | Protein Function Prediction Methods and Protocols |
| title_full | Protein Function Prediction Methods and Protocols edited by Daisuke Kihara |
| title_fullStr | Protein Function Prediction Methods and Protocols edited by Daisuke Kihara |
| title_full_unstemmed | Protein Function Prediction Methods and Protocols edited by Daisuke Kihara |
| title_short | Protein Function Prediction |
| title_sort | protein function prediction methods and protocols |
| title_sub | Methods and Protocols |
| topic | Life Sciences Protein Science Life sciences Proteins |
| topic_facet | Life Sciences Protein Science Life sciences Proteins |
| url | https://doi.org/10.1007/978-1-4939-7015-5 |
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