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Biological sequence analysis
Biological sequence analysis: probalistic models of proteins and nucleic acids
Richard Durbin... [et al.]
Publisher: Cambridge, UK : Cambridge University Press, 1998.
ISBN: 0521629713   DDC: 572.8633   LCC: QP620   Edition: (pbk.)

Book Data

Library: Deakin University
Last Loaded: 12/11/2008
MARC Timestamp: Unknown
Control Number Org.:
Control Number: 97046769

MARC Record

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000  01970nam  2200301 a 4500
001     97046769
008  971202s1998    enka     b    00100 eng  
010      $a97046769
019  1   $a13600331
019      $a97046769
020      $a0521620414$q (hardcover)
020      $a0521629713$q (pbk.)
050  00  $aQP620$b.B576 1998
082  00  $a572.8/633$221
091      $a.b18300649
245  00  $aBiological sequence analysis :$bprobalistic
         models of proteins and nucleic acids /$cRichard Durbin ...
         [et al.]
260      $aCambridge, UK :$aNew York :$bCambridge University
         Press,$c1998.
300      $axi, 356 p. :$bill. ;$c26 cm.
505  0   $a1. 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.
520      $aThis book provides the first unified, up-to-date,
         and tutorial-level overview of sequence analysis methods,
         with particular emphasis on probabilistic modelling.
         Pairwise alignment, hidden Markov models, multiple
         alignment, profile searches, RNA secondary structure
         analysis, and phylogenetic inference are treated at length.
         Written by an interdisciplinary team of authors, the book is
         accessible to molecular biologists, computer scientists and
         mathematicians with no formal knowledge of each others'
         fields. It presents the state-of-the-art in this important,
         new and rapidly developing discipline.
504      $aIncludes bibliographical references (p. 326-344)
         and indexes.
650   0  $aNucleotide sequence$xStatistical methods.
650   0  $aAmino acid sequence$xStatistical methods.
650   0  $aNumerical analysis.
650   0  $aProbabilities.
695      $aElectronic books.
700  1   $aDurbin, Richard.
710  2   $aEbook Library.

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