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020 _a9781607619772
024 7 _a10.1007/978-1-60761-977-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aBioinformatics for Comparative Proteomics
_cedited by Cathy H. Wu, Chuming Chen.
250 _a1st edition 2011
264 1 _aTotowa, NJ
_bHumana Press
_c2011
300 _a1 recurso en línea (XIII, 387 páginas)
_b
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v694
505 0 _aProtein Bioinformatics Databases and Resources -- A Guide to UniProt for Protein Scientists -- InterPro Protein Classification -- Reactome Knowledgebase of Human Biological Pathways and Processes -- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature -- A Tutorial on Protein Ontology Resources for Proteomic Studies -- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase -- Modeling Mass Spectrometry-Based Protein Analysis -- Protein Identification from Tandem Mass Spectra by Database Searching -- LC-MS Data Analysis for Differential Protein Expression Detection -- Protein Identification by Spectral Networks Analysis -- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline -- Analysis of High-Throughput ELISA Microarray Data -- Proteomics Databases and Repositories -- Preparing Molecular Interaction Data for Publication -- Submitting Proteomics Data to PRIDE Using PRIDE Converter Automated Data Integration and Determination of Posttranslational Modifications with the Protein Inference Engine -- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications -- Phosphoproteome Resource for Systems Biology Research -- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data -- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks -- Time Series Proteome Profiling.
520 _aWith the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts in the field highlight the current status, challenges, open problems, and future trends for developing bioinformatics tools and resources for comparative proteomics research in order to deliver a definitive reference providing both the breadth and depth needed on the subject. Structured in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the systems biology context. Written for the highly successful Methods in Molecular Biology™ series, the contributions in this book provide the meticulous, step-by-step description and implementation advice that is crucial for getting optimal results in the lab. Comprehensive and easy-to-use, Bioinformatics for Comparative Proteomics serves all readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods and future trends in proteomics data analysis, and comparative proteomics in systems biology.
700 1 _aWu, Cathy H
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Chuming
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9781607619765
776 0 8 _iPrinted edition:
_z9781607619789
776 0 8 _iPrinted edition:
_z9781493957903
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60761-977-2
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2011
999 _c234710
_d234710