資料來源: Google Book
Computational and evolutionary analysis of HIV molecular sequences
- 其他作者: Rodrigo, Allen G., , Learn, Gerald H.,
- 出版: New York : Kluwer Academic Publishers ©2002.
- 稽核項: 1 online resource (viii, 300 pages) :illustrations.
- 標題: MEDICAL AIDS & HIV. , HEALTH & FITNESS , HIV (Viruses) , HEALTH & FITNESS Diseases -- AIDS & HIV. , MEDICAL , Electronic books. , Nucleotide sequence. , Retroviruses , EvolutionResearchMethodology. , Viruses Evolution -- Research -- Methodology. , Viruses , HIV (Viruses) Research -- Methodology. , GeneticsResearchMethodology. , AIDS & HIV. , ResearchMethodology. , DiseasesAIDS & HIV. , Andre fag (naturvidenskab og teknik) Andre fag , Retroviruses Genetics -- Research -- Methodology.
- ISBN: 0306469006 , 9780306469008
- ISBN: 9780792379942 , 0792379942
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). HIV research is unusual in that it brings together scientists from a wide range of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This book seeks to bridge the gap between these groups, in both subject matter and terminology. Focused largely on HIV genetic variation, Computational and Evolutionary Analysis of HIV Molecular Sequences covers such issues as sampling and processing sequences, population genetics, phylogenetics and drug targets.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=69520
- 系統號: 005298267
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). HIV research is unusual in that it brings together scientists from a wide range of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This book seeks to bridge the gap between these groups, in both subject matter and terminology. Focused largely on HIV genetic variation, Computational and Evolutionary Analysis of HIV Molecular Sequences covers such issues as sampling and processing sequences, population genetics, phylogenetics and drug targets.
來源: Google Book
來源: Google Book
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