LEADER 03952nam 22006375 450 001 9910298287603321 005 20200630012909.0 010 $a3-319-12727-6 024 7 $a10.1007/978-3-319-12727-9 035 $a(CKB)3710000000305963 035 $a(EBL)1965334 035 $a(SSID)ssj0001385862 035 $a(PQKBManifestationID)11833678 035 $a(PQKBTitleCode)TC0001385862 035 $a(PQKBWorkID)11349478 035 $a(PQKB)10085867 035 $a(DE-He213)978-3-319-12727-9 035 $a(MiAaPQ)EBC1965334 035 $a(PPN)183089987 035 $a(EXLCZ)993710000000305963 100 $a20141128d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPractical Protein Bioinformatics$b[electronic resource] /$fby Florencio Pazos, Mónica Chagoyen 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (111 p.) 300 $aDescription based upon print version of record. 311 $a3-319-12726-8 320 $aIncludes bibliographical references and index. 327 $aSequences -- Structures -- Systems. 330 $aThis 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. 606 $aProteins  606 $aMedicine 606 $aOrganic chemistry 606 $aProtein Science$3https://scigraph.springernature.com/ontologies/product-market-codes/L14040 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aOrganic Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C19007 615 0$aProteins . 615 0$aMedicine. 615 0$aOrganic chemistry. 615 14$aProtein Science. 615 24$aBiomedicine, general. 615 24$aOrganic Chemistry. 676 $a570 676 $a572/.6 676 $a610 700 $aPazos$b Florencio$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059854 702 $aChagoyen$b Mónica$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298287603321 996 $aPractical Protein Bioinformatics$92508853 997 $aUNINA