MARC record from Internet Archive

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001 ocn137221654
003 OCoLC
005 20200522194809.0
008 070515s2007 enka b 001 0 eng
010 $a 2007299649
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082 04 $a572.860285$222
084 $aBIO 110f$2stub
084 $aBIO 180f$2stub
084 $aWC 7700$2rvk
084 $aWG 1500$2rvk
100 1 $aMajoros, William H.
245 10 $aMethods for computational gene prediction /$cWilliam H. Majoros.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2007.
300 $axvii, 430 pages :$billustrations ;$c26 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 390-407) and index.
505 0 $a1. Introduction -- 2. Mathematical preliminaries -- 3. Overview of gene prediction -- 4. Gene finder evaluation -- 5. A toy Exon finder -- 6. Hidden Markov models -- 7. Signal and content sensors -- 8. Generalized hidden Markov models -- 9. Comparative gene finding -- 10. Machine Learning methods -- 11. Tips and tricks -- 12. Advanced topics.
520 1 $a"Inferring the precise locations and splicing patterns of genes in DNA is a difficult but important task, with broad applications to biomedicine. The mathematical and statistical techniques that have been applied to this problem are surveyed here and organized into a logical framework based on the theory of parsing. Both established approaches and methods at the forefront of current research are discussed. Numerous case studies of existing software systems are provided, in addition to detailed examples that work through the actual implementation of effective gene predictors using hidden Markov models and other machine-learning techniques. Background material on probability theory, discrete mathematics, computer science, and molecular biology is provided, making the book accessible to students and researchers from across the life sciences and computational sciences. This book is ideal for use in a first course in bioinformatics at graduate or advanced undergraduate level, and for anyone wanting to keep pace with this rapidly advancing field."--Jacket.
650 0 $aGenomics$xData processing.
650 0 $aBioinformatics.
650 0 $aMolecular genetics$xData processing.
650 0 $aMolecular genetics$xData processing$vCase studies.
650 0 $aMolecular genetics$xMathematics.
650 0 $aMolecular genetics$xMathematics$vCase studies.
650 12 $aGenomics$xmethods.
650 22 $aComputational Biology.
650 22 $aMathematics.
650 7 $aBioinformatics.$2fast$0(OCoLC)fst00832181
650 7 $aGenomics$xData processing.$2fast$0(OCoLC)fst00940229
650 7 $aMolecular genetics$xData processing.$2fast$0(OCoLC)fst01024800
650 7 $aMolecular genetics$xMathematics.$2fast$0(OCoLC)fst01024804
650 7 $aBioinformatik$2gnd
650 7 $aGenanalyse$2gnd
650 7 $aMolekulare Bioinformatik$2gnd
653 00 $abioinformatics
653 00 $agenen
653 00 $agenes
653 00 $adna
653 00 $awiskunde
653 00 $amathematics
653 00 $astatistische analyse
653 00 $astatistical analysis
653 00 $acomputer software
653 00 $avoorspelling
653 00 $aprediction
653 00 $amoleculaire biologie
653 00 $amolecular biology
653 00 $agenomen
653 00 $agenomes
653 10 $aBioinformatics (General)
653 10 $aBioinformatica (algemeen)
655 4 $aCase studies.
655 7 $aCase studies.$2fast$0(OCoLC)fst01423765
776 08 $iOnline version:$aMajoros, William H.$tMethods for computational gene prediction.$dCambridge ; New York : Cambridge University Press, 2007$w(OCoLC)625046389
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/enhancements/fy0803/2007299649-t.html
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/enhancements/fy0803/2007299649-b.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0803/2007299649-d.html
856 $uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016322479&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA$zInhaltsverzeichnis
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