Practical Protein Bioinformatics

Florencio Pazos|Mónica Chagoyen

ISBN 10: 3319127268 / ISBN 13: 9783319127262

Edité par Springer International Publishing, 2014

A propos de cet article

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gives practical recipes for using protein-related bioinformatics toolsDemonstrates for wet labs many of the tools freely availableFits well on the shelf of any experimental labThis book describes more than 60 web-accessible compu.

N° de réf. du vendeur 4499316

Détails bibliographiques

• Titre: Practical Protein Bioinformatics
• Éditeur: Springer International Publishing
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 3319127268
• ISBN à 13 chiffres: 9783319127262
• Reliure: Couverture rigide
• État de l'article: New
• Catalogues du vendeur:
  • Mathematik/Naturwissenschaften/Technik/Medizin

A propos de ce titre

Synopsis

This book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed explanations on how to use these tools and interpret their results and minimal mentions to their theoretical basis (only when that is required for making a better use of them). It covers a wide range of tools for dealing with different aspects of proteins, from their sequences, to their three-dimensional structures, and the biological networks they are immersed in. The selection of tools is based on the experience of the authors that lead a protein bioinformatics facility in a large research centre, with the additional constraint that the tools should be accessible through standard web browsers without requiring the local installation of specific software, command-line tools, etc.

The web tools covered include those aimed to retrieve protein information, look for similar proteins, generate pair-wise and multiple sequence alignments of protein sequences, work with protein domains and motifs, study the phylogeny of a family of proteins, retrieve, manipulate and visualize protein three-dimensional structures, predict protein structural features as well as whole three-dimensional structures, extract biological information from protein structures, summarize large protein sets, study protein interaction and metabolic networks, etc.

The book is associated to a dynamic web site that will reflect changes in the web addresses of the tools, updates of these, etc. It also contains QR codes that can be scanned with any device to direct its browser to the tool web site.

This monograph will be most valuable for researchers in experimental labs without specific knowledge on bioinformatics or computing.