000 01953cam 2200289 a 4500
001 000013600331
005 20070828181809.0
008 971202s1998 enka b 001 0 eng
010 $a97046769
019 1 $a13600331
020 $a0521620414 (hardcover)
020 $a0521629713 (pbk.)
040 $aDLC$beng$cDLC$dDLC$dTOC
050 00 $aQP620$b.B576 1998
082 00 $a572.8/633$221
245 00 $aBiological sequence analysis :$bprobabilistic
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.
500 $aIncludes index.
504 $aIncludes bibliographical references (p. 326-344)
and indexes.
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.
650 0 $aNucleotide sequence$xStatistical methods.
650 0 $aAmino acid sequence$xStatistical methods.
650 0 $aNumerical analysis.
650 0 $aProbabilities.
700 1 $aDurbin, Richard.
