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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.
• Describes a wide range of databases: DNA, RNA, protein, pathways, and gene expression
• Enables readers to access the information they need from databases on the web
• Includes a directory of URLs for easy reference
• Invaluable for those starting a career in life sciences research and also for established researchers wishing to make full use of available resources.
Audience: Graduates and researchers in genetics, biochemistry, molecular biology, cell biology, immunology, microbiology - any discipline using molecular biology in their research. There is also the possibility of promotion to specific courses, most of which are fairly new. In the US there are 84 courses on 'Computers in Medicine' and 30 courses on 'Computer Applications in Health'. There are also 2 graduate courses in the UK on bioinformatics.
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.