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Biological Sequence Analysis :Probabilistic Models of Proteins and Nucleic Acids.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Biological Sequence Analysis :
其他題名:
Probabilistic Models of Proteins and Nucleic Acids.
作者:
Durbin, Richard.
其他作者:
Eddy, Sean R.
出版者:
Leiden :Cambridge University Press,1998.
面頁冊數:
371 p.
標題:
Nucleotide sequence.
電子資源:
Click here to view book
ISBN:
9780511790492 (electronic bk.)
Biological Sequence Analysis :Probabilistic Models of Proteins and Nucleic Acids.
Durbin, Richard.
Biological Sequence Analysis :
Probabilistic Models of Proteins and Nucleic Acids.[electronic resource]. - Leiden :Cambridge University Press,1998. - 371 p.
Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Pairwise alignment; 3 Markov chains and hidden Markov models; 4 Pairwise alignment using HMMs; 5 Profile HMMs for sequence families; 6 Multiple sequence alignment methods; 7 Building phylogenetic trees; 8 Probabilistic approaches to phylogeny; 9 Transformational grammars; 10 RNA structure analysis; 11 Background on probability; Bibliography; Author index; Subject index
Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511790492 (electronic bk.)Subjects--Topical Terms:
197397
Nucleotide sequence.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QP620 .B576 1998
Dewey Class. No.: 572.8/633
Biological Sequence Analysis :Probabilistic Models of Proteins and Nucleic Acids.
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1998.
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371 p.
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Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Pairwise alignment; 3 Markov chains and hidden Markov models; 4 Pairwise alignment using HMMs; 5 Profile HMMs for sequence families; 6 Multiple sequence alignment methods; 7 Building phylogenetic trees; 8 Probabilistic approaches to phylogeny; 9 Transformational grammars; 10 RNA structure analysis; 11 Background on probability; Bibliography; Author index; Subject index
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http://dx.doi.org/10.1017/CBO9780511790492
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