컨텐츠로 이동
Applied computational genomics
닫기해당 항목을 미리보기

Applied computational genomics

저자: Yin Yao Shugart
출판사: Dordrecht ; New York : Springer Science + Business Media, ©2012.
시리즈: Translational bioinformatics, v. 1.
판/형식:  전자도서 : 문서 : 영어모든 판과 형식 보기
요약:
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  더 읽기…
평가:

(아무런 평가가 없습니다.) 0 리뷰와 함께 - 첫번째로 올려주세요.

 

온라인으로 문서 찾기

이 항목에 대한 링크

도서관에서 사본 찾기

가져오는중… 해당항목을 보유하고 있는 도서관을 찾는 중

상세정보

장르/형태: Electronic books
Congresses
추가적인 물리적 형식: Print version:
Shugart, Yin Yao
Applied Computational Genomics
Dordrecht : Springer, c2012
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Yin Yao Shugart
ISBN: 9789400755581 9400755589
OCLC 번호: 823726928
설명: 1 online resource (195 p.)
내용: 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.
일련 제목: Translational bioinformatics, v. 1.
책임: editor, Yin Yao Shugart.

초록:

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  더 읽기…

리뷰

사용자-기여 리뷰

태그

첫번째 되기
요청하신 것을 확인하기

이 항목을 이미 요청하셨을 수도 있습니다. 만약 이 요청을 계속해서 진행하시려면 Ok을 선택하세요.

링크된 데이터


<http://www.worldcat.org/oclc/823726928>
library:oclcnum"823726928"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/823726928>
rdf:typeschema:Book
rdfs:seeAlso
rdfs:seeAlso
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."
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."
schema:inLanguage"en"
schema:name"Applied computational genomics"
schema:publisher
rdf:typeschema:Organization
schema:name"Springer Science + Business Media"
schema:url<http://public.eblib.com/EBLPublic/PublicView.do?ptiID=1083588>
schema:url<http://dx.doi.org/10.1007/978-94-007-5558-1>
윈도우 닫기

WorldCat에 로그인 하십시오 

계정이 없으세요? 아주 간단한 절차를 통하여 무료 계정을 만드실 수 있습니다.

취소 비밀번호를 잊어버리셨습니까?