The Resource Computational Genome Analysis : An Introduction, by Richard C. Deonier, Michael S. Waterman, Simon Tavaré, (electronic resource)

Computational Genome Analysis : An Introduction, by Richard C. Deonier, Michael S. Waterman, Simon Tavaré, (electronic resource)

Label
Computational Genome Analysis : An Introduction
Title
Computational Genome Analysis
Title remainder
An Introduction
Statement of responsibility
by Richard C. Deonier, Michael S. Waterman, Simon Tavaré
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features:Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation. Presentation of fundamentals of probability, statistics, and algorithms. Implementation of computational methods with numerous examples based upon the R statistics package. Extensive descriptions and explanations to complement the analytical development. More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature. Exercises at the end of chapters. Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of the Department of Biological Sciences at the University of Southern California. Originally trained as a physical biochemist, His major research has been in areas of molecular genetics, with particular interests in physical methods for gene mapping, bacterial transposable elements, and conjugative plasmids. During 30 years of active teaching, he has taught chemistry, biology, and computational biology at both the undergraduate and graduate levels. Simon Tavaré holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavaré's research lies at the interface between statistics and biology, specifically focusing on problems arising in molecular biology, human genetics, population genetics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computation. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference in the fossil record. Dr. Tavaré is also a professor in the Department of Oncology at the University of Cambridge, England, where his group concentrates on cancer genomics. Michael S. Waterman is a University Professor, a USC Associates Chair in Natural Sciences, and Professor of Biological Sciences, Computer Science, and Mathematics at the University of Southern California. A member of the National Academy of Sciences and the American Academy of Arts and Sciences, Professor Waterman is Founding Editor and Co-Editor in Chief of the Journal of Computational Biology. His research has focused on computational analysis of molecular sequence data. His best-known work is the co-development of the local alignment Smith-Waterman algorithm, which has become the foundational tool for database search methods. His interests have also encompassed physical mapping, as exemplified by the Lander-Waterman formulas, and genome sequence assembly using an Eulerian path method
Member of
http://library.link/vocab/creatorName
Deonier, Richard C
Image bit depth
0
LC call number
QH324.2-324.25
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Waterman, Michael S.
  • Tavaré, Simon.
  • SpringerLink
http://library.link/vocab/subjectName
  • Statistics
  • Computer science
  • Bioinformatics
  • Genetics
  • Statistics
  • Computational Biology/Bioinformatics
  • Bioinformatics
  • Genetics and Population Dynamics
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Probability and Statistics in Computer Science
Label
Computational Genome Analysis : An Introduction, by Richard C. Deonier, Michael S. Waterman, Simon Tavaré, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Biology in a Nutshell -- Words -- Word Distributions and Occurrences -- Physical Mapping of DNA -- Genome Rearrangements -- Sequence Alignment -- Rapid Alignment Methods: FASTA and BLAST -- DNA Sequence Assembly -- Signals in DNA -- Similarity, Distance, and Clustering -- Measuring Expression of Genome Information -- Inferring the Past: Phylogenetic Trees -- Genetic Variation in Populations -- Comparative Genomics
Dimensions
unknown
Extent
XX, 535 p. 102 illus., 15 in color.
File format
multiple file formats
Form of item
electronic
Isbn
9780387288079
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/0-387-28807-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-0-387-28807-9
Label
Computational Genome Analysis : An Introduction, by Richard C. Deonier, Michael S. Waterman, Simon Tavaré, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Biology in a Nutshell -- Words -- Word Distributions and Occurrences -- Physical Mapping of DNA -- Genome Rearrangements -- Sequence Alignment -- Rapid Alignment Methods: FASTA and BLAST -- DNA Sequence Assembly -- Signals in DNA -- Similarity, Distance, and Clustering -- Measuring Expression of Genome Information -- Inferring the Past: Phylogenetic Trees -- Genetic Variation in Populations -- Comparative Genomics
Dimensions
unknown
Extent
XX, 535 p. 102 illus., 15 in color.
File format
multiple file formats
Form of item
electronic
Isbn
9780387288079
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/0-387-28807-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-0-387-28807-9

Library Locations

  • African Studies LibraryBorrow it
    771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Alumni Medical LibraryBorrow it
    72 East Concord Street, Boston, MA, 02118, US
    42.336388 -71.072393
  • Astronomy LibraryBorrow it
    725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US
    42.350259 -71.105717
  • Fineman and Pappas Law LibrariesBorrow it
    765 Commonwealth Avenue, Boston, MA, 02215, US
    42.350979 -71.107023
  • Frederick S. Pardee Management LibraryBorrow it
    595 Commonwealth Avenue, Boston, MA, 02215, US
    42.349626 -71.099547
  • Howard Gotlieb Archival Research CenterBorrow it
    771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Mugar Memorial LibraryBorrow it
    771 Commonwealth Avenue, Boston, MA, 02215, US
    42.350723 -71.108227
  • Music LibraryBorrow it
    771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Pikering Educational Resources LibraryBorrow it
    2 Silber Way, Boston, MA, 02215, US
    42.349804 -71.101425
  • School of Theology LibraryBorrow it
    745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350494 -71.107235
  • Science & Engineering LibraryBorrow it
    38 Cummington Mall, Boston, MA, 02215, US
    42.348472 -71.102257
  • Stone Science LibraryBorrow it
    675 Commonwealth Avenue, Boston, MA, 02445, US
    42.350103 -71.103784
Processing Feedback ...