000 03077nam a22003735i 4500
001 313881
003 MX-SnUAN
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008 150903s2012 ne | o |||| 0|eng d
020 _a9789400755581
_99789400755581
024 7 _a10.1007/9789400755581
_2doi
035 _avtls000367600
039 9 _a201509030716
_bVLOAD
_c201405070444
_dVLOAD
_y201402251628
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aRB155-155.8
100 1 _aShugart, Yin Yao.
_eeditor.
_9356289
245 1 0 _aApplied Computational Genomics /
_cedited by Yin Yao Shugart.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2012.
300 _axii, 184 páginas 10 ilustraciones, 8 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aTranslational Bioinformatics,
_x2213-2775 ;
_v1
500 _aSpringer eBooks
505 0 _aIntroduction -- Concepts of Genetic Epidemiology -- Integration of Linkage Analysis and Next Generation Sequencing Data -- From Family Study to Population Study: A history of Genetic Mapping for Nasopharyngeal Carcinoma (NPC) -- QTL Mapping of Molecular Traits for Studies of Human Complex Diseases -- Renewed Interest in Haplotype: from Genetic Marker to Gene Prediction -- Analytical Approaches for Exome Sequence Data -- Rare Variants Analysis in Unrelated Individuals -- Gene Duplication and Functional Consequences -- From GWAS to Next-Generation Sequencing on Human Complex Diseases: the Implications for Translational Medicine and Therapeutics.
520 _a"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland, USA.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9789400755574
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-94-007-5558-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c313881
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