01768nam0 2200385 i 450 VAN012590220220311094341.488N978331942261920191217d2018 |0itac50 baengCH|||| |||||Introduction to Isotopic Materials ScienceVladimir G. PlekhanovChamSpringer2018XVI, 285 p.ill.24 cm001VAN00239902001 Springer series in materials science210 BerlinSpringer248CHChamVANL001889621.36Ingegneria ottica. Ottica applicata22620.5Nanotecnologia22621.39Microingegneria22620.1Scienze dei materiali22541.377Semiconduttori22537.5344Microonde e onde a frequenza ultraalta22PlekhanovVladimir G.VANV097312769477Springer <editore>VANV108073650Plekhanov, V. G.Plekhanov, Vladimir G.VANV103809Plekhanov, V.G.Plekhanov, Vladimir G.VANV213548ITSOL20240614RICAhttps://link.springer.com/book/10.1007/978-3-319-42261-9E-book - Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHEIT-CE0101VAN17NVAN0125902BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS e-book 2112 17BIB2112/334 334 20191217 Introduction to Isotopic Materials Science1568698UNICAMPANIA03566nam 22007095 450 991029923000332120251116133922.03-319-14914-810.1007/978-3-319-14914-1(CKB)3710000000342593(EBL)1966836(SSID)ssj0001424573(PQKBManifestationID)11891915(PQKBTitleCode)TC0001424573(PQKBWorkID)11367548(PQKB)10906036(DE-He213)978-3-319-14914-1(MiAaPQ)EBC1966836(PPN)183518187(EXLCZ)99371000000034259320150122d2015 u| 0engur|n|---|||||txtccrProtein Homology Detection Through Alignment of Markov Random Fields Using MRFalign /by Jinbo Xu, Sheng Wang, Jianzhu Ma1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (59 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.3-319-14913-X Includes bibliographical references.Introduction -- Method -- Software -- Experiments and Results -- Conclusion.This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.SpringerBriefs in Computer Science,2191-5768BioinformaticsMathematical statisticsStatisticsComputational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15001Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Bioinformatics.Mathematical statistics.Statistics.Computational Biology/Bioinformatics.Probability and Statistics in Computer Science.Bioinformatics.Statistics for Life Sciences, Medicine, Health Sciences.004005.55519.5570285Hŏ Kŭm-p'aauthttp://id.loc.gov/vocabulary/relators/aut1868555Wang Shengauthttp://id.loc.gov/vocabulary/relators/autMa Jianzhuauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299230003321Protein Homology Detection Through Alignment of Markov Random Fields4476519UNINA