| 000 | 03529nam a22003615i 4500 | ||
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| 001 | 235585 | ||
| 003 | ES-VaUE | ||
| 005 | 20221220020714.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170427s2017 xxu| s |||| 0|eng d | ||
| 020 | _a9781493970155 | ||
| 024 | 7 |
_a10.1007/978-1-4939-7015-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aProtein Function Prediction _bMethods and Protocols _cedited by Daisuke Kihara. |
| 250 | _a1st edition 2017 | ||
| 264 | 1 |
_aNew York, NY _bSpringer International Publishing _c2017 |
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| 300 |
_a1 recurso en línea (X, 239 páginas) _b82 ilustraciones, 71 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v1611 |
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| 505 | 0 | _aUsing PFP and ESG Protein Function Prediction Web Servers -- GHOSTX: A Fast Sequence Homology Search Tool for Functional Annotation of Metagenomic Data -- From Gene Annotation to Function Prediction for Metagenomics -- An Agile Functional Analysis of Metagenomic Data using SUPER-FOCUS -- MPFit: Computational Tool for Predicting Moonlighting Proteins -- Predicting Secretory Proteins with SignalP -- The ProFunc Function Prediction Server -- G-LoSA for Prediction of Protein-Ligand Binding Sites and Structures -- Local Alignment of Ligand Binding Sites in Proteins for Polypharmacology and Drug Repositioning -- WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and Visualization -- Enzyme Annotation and Metabolic Reconstruction Using KEGG -- Ortholog Identification and Comparative Analysis of Microbial Genomes using MBGD and RECOG -- Exploring Protein Function Using the Saccharomyces Genome Database -- Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates using MouseNet Server -- The FANTOM5 Computation Ecosystem: Genomic Information Hub for Promoters and Active Enhancers -- Multi-Algorithm Particle Simulations with Spatiocyte. | |
| 520 | _aThis 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>. | ||
| 700 | 1 |
_aKihara, Daisuke _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781493970131 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493970148 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781493983681 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-7015-5 _z(usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Protocols_2017 | ||
| 999 |
_c235585 _d235585 |
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