Protein Function Prediction Methods and Protocols / edited by Daisuke Kihara.
Colaborador(es): Kihara, Daisuke, editor literario.
Series (Methods in Molecular Biology, 1940-6029; 1611).Editor: New York, NY : Springer International Publishing, 2017Edición: 1st edition 2017.Descripción: 1 recurso en línea (X, 239 páginas) : 82 ilustraciones, 71 ilustraciones a color.ISBN: 9781493970155.Recursos en línea: (usuarios Universidad Europea de Valencia)
| Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Valencia Digital Acceso Electrónico (UEV) | Acceso electrónico | eBook.20124661 |
Using 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.
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>.
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