skip to content
Applied computational genomics Preview this item
ClosePreview this item
Checking...

Applied computational genomics

Author: Yin Yao Shugart
Publisher: Dordrecht ; New York : Springer Science + Business Media, ©2012.
Series: Translational bioinformatics, v. 1.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Congresses
Additional Physical Format: Print version:
Shugart, Yin Yao.
Applied Computational Genomics.
Dordrecht : Springer, ©2012
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yin Yao Shugart
ISBN: 9789400755581 9400755589
OCLC Number: 823726928
Description: 1 online resource (195 pages).
Contents: Ch. 1: Introduction --
Ch. 2: Concepts of genetic epidemiology --
Ch. 3: Integration of linkage analysis and next-generation sequencing data --
Ch. 4: From family study to population study: a history of genetic mapping for nasopharyngeal carcinoma (NPC) --
Ch. 5: QTL mapping of molecular traits for studies of human complex diseases --
Ch. 6: Renewed interest in haplotype: from genetic marker to gene prediction --
Ch. 7: Analytical approaches for exome sequence data --
Ch. 8: Rare variants analysis in unrelated individuals --
Ch. 9: Gene duplication and functional consequences --
Ch. 10: From GWAS to next-generation sequencing on human complex diseases: the implications for translational medicine and therapeutics.
Series Title: Translational bioinformatics, v. 1.
Responsibility: editor, Yin Yao Shugart.
More information:

Abstract:

This book offers 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  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/823726928>
library:oclcnum"823726928"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
rdf:typeschema:MediaObject
rdf:valueUnknown value: dct
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:contributor
schema:copyrightYear"2012"
schema:datePublished"2012"
schema:description"Ch. 1: Introduction -- Ch. 2: Concepts of genetic epidemiology -- Ch. 3: Integration of linkage analysis and next-generation sequencing data -- Ch. 4: From family study to population study: a history of genetic mapping for nasopharyngeal carcinoma (NPC) -- Ch. 5: QTL mapping of molecular traits for studies of human complex diseases -- Ch. 6: Renewed interest in haplotype: from genetic marker to gene prediction -- Ch. 7: Analytical approaches for exome sequence data -- Ch. 8: Rare variants analysis in unrelated individuals -- Ch. 9: Gene duplication and functional consequences -- Ch. 10: From GWAS to next-generation sequencing on human complex diseases: the implications for translational medicine and therapeutics."@en
schema:description"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."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/1204038224>
schema:genre"Electronic books"@en
schema:inLanguage"en"
schema:isPartOf
schema:name"Applied computational genomics"@en
schema:publication
schema:publisher
schema:url<http://public.eblib.com/choice/publicfullrecord.aspx?p=1083588>
schema:url<http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=529040>
schema:url<http://dx.doi.org/10.1007/978-94-007-5558-1>
schema:url<http://drl.ohsu.edu/cdm/ref/collection/etd/id/xx>
schema:workExample
wdrs:describedby

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.