Genetic Databases
Published on 1. September 1999
Book
Hardback
320 pages
978-0-12-101625-8 (ISBN)
Description
Computer access is the only way to retrieve up-to-date sequences and this book shows researchers puzzled by the maze of URLs, sites, and searches how to use internet technology to find and analyze genetic data. The book describes the different types of databases, how to use a specific database to find a sequence that you need, and how to analyze the data to compare it with your own work.
The content also covers sequence phenotype, mutation, and genetic linkage databases; simple repetitive DNA sequences; gene feature identification; and prediction of structure and function of proteins from sequence information. This book will be invaluable to those starting a career in life sciences research as well as to established researchers wishing to make full use of available resources.
The content also covers sequence phenotype, mutation, and genetic linkage databases; simple repetitive DNA sequences; gene feature identification; and prediction of structure and function of proteins from sequence information. This book will be invaluable to those starting a career in life sciences research as well as to established researchers wishing to make full use of available resources.
Reviews / Votes
"Read the book from cover to cover... is rewarding and provides one with a feel for the state of the art in relation to data mining from genetics databases... I would highly recommend the book to anyone currently doing research in the biological sciences and molecular or genetic science in particular." -Today's Life Science (2000)"...Martin Bishop has done a nice job assembling specialists in their fields who can explain the rationale, strenths, and weaknesses of many types of analysis used in bioinformatics... Overall, this would be a good book for use as an introductory bioinformatics text or for anyone who has an interest in learning various approaches to both eukaryotic and prokaryotic genome analysis..." --Lynn Jablonski, ASM News
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Graduates and researchers in genetics, biochemistry, molecular biology, cell biology, immunology, and microbiology-any discipline using molecular biology in their research.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
640 gr
ISBN-13
978-0-12-101625-8 (9780121016258)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Person
Martin Bishop works for the British Medicinal Resource Council as Bioinformatics Manager at the U.K. Human Genome Mapping Project Resource Centre.
Content
M. Bishop, Introduction.
G. Williams, Nucleic Acid and Protein Sequence Databases.
R. Cotton, Phenotype, Mutation, and Genetic Linkage Databases and Their Links to Sequence Databases.
R. Guigo, DNA Composition, Codon Usage, and Exon Prediction.
W. Taylor, Properties of Amino Acids in Sequences.
M. Gribskov, Sequence Comparison.
J. Epplen, Simple Repetitive Sequences in DNA Databanks.
P. Bucher, Gene Feature Identification.
D. Higgins, Multiple Sequence Alignment.
K. Triman, RNAs.
C. Ponting and D.J. Blake, Predicting the Evolution, Structure, and Function of Proteins from Sequence Information.
D. Jones, Structure Databases and Structure Alignments.
M. Gribskov, Bourne, Smith, Integrated Data Resource for Protein Kinases.
R. Baldock, Gene Expression Databases.
P.D. Karp, Pathways and Development.
G. Williams, Nucleic Acid and Protein Sequence Databases.
R. Cotton, Phenotype, Mutation, and Genetic Linkage Databases and Their Links to Sequence Databases.
R. Guigo, DNA Composition, Codon Usage, and Exon Prediction.
W. Taylor, Properties of Amino Acids in Sequences.
M. Gribskov, Sequence Comparison.
J. Epplen, Simple Repetitive Sequences in DNA Databanks.
P. Bucher, Gene Feature Identification.
D. Higgins, Multiple Sequence Alignment.
K. Triman, RNAs.
C. Ponting and D.J. Blake, Predicting the Evolution, Structure, and Function of Proteins from Sequence Information.
D. Jones, Structure Databases and Structure Alignments.
M. Gribskov, Bourne, Smith, Integrated Data Resource for Protein Kinases.
R. Baldock, Gene Expression Databases.
P.D. Karp, Pathways and Development.