000 03191nam a22005055i 4500
001 978-94-007-5558-1
003 DE-He213
005 20140220083348.0
007 cr nn 008mamaa
008 121228s2012 ne | s |||| 0|eng d
020 _a9789400755581
_9978-94-007-5558-1
024 7 _a10.1007/978-94-007-5558-1
_2doi
050 4 _aRB155-155.8
050 4 _aQH431
072 7 _aMFN
_2bicssc
072 7 _aMED107000
_2bisacsh
082 0 4 _a611.01816
_223
082 0 4 _a599.935
_223
100 1 _aShugart, Yin Yao.
_eeditor.
245 1 0 _aApplied Computational Genomics
_h[electronic resource] /
_cedited by Yin Yao Shugart.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2012.
300 _aXII, 184 p. 10 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTranslational Bioinformatics,
_x2213-2775 ;
_v1
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.
650 0 _aMedicine.
650 0 _aHuman genetics.
650 0 _aBiotechnology.
650 0 _aBioinformatics.
650 1 4 _aBiomedicine.
650 2 4 _aHuman Genetics.
650 2 4 _aBioinformatics.
650 2 4 _aBiotechnology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400755574
830 0 _aTranslational Bioinformatics,
_x2213-2775 ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-5558-1
912 _aZDB-2-SBL
999 _c104869
_d104869