Computer Analysis of Sequence Data, Part I

Computer Analysis of Sequence Data, Part I

EnglishPaperback / softback
Griffin Annette M.
Humana Press Inc.
EAN: 9780896032460
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DNA sequencing has become increasingly efficient over the years, resulting in an enormous increase in the amount of data gen- ated. In recent years, the focus of sequencing has shifted, from being the endpoint of a project, to being a starting point. This is especially true for such major initiatives as the human genome project, where vast tracts of DNA of unknown function are sequenced. This sheer volume of available data makes advanced computer methods ess- tial to analysis, and a familiarity with computers and sequence ana- sis software a vital requirement for the researcher involved with DNA sequencing. Even for nonsequencers, a familiarity with sequence analysis software can be important. For instance, gene sequences already present in the databases can be extremely useful in the design of cloning and genetic manipulation experiments. This two-part work on Analysis of Data is designed to be a practical aid to the researcher who uses computers for the acquisition, storage, or analysis of nucleic acid (and/or p- tein) sequences. Each chapter is written such that a competent sci- tist with basic computer literacy can carry out the procedure successfully at the first attempt by simply following the detailed pr- tical instructions that have been described by the author. A Notes section, which is included at the end of each chapter, provides advice on overcoming the common problems and pitfalls sometimes enco- tered by users of the sequence analysis software. Software packages for both the mainframe and personal computers are described.
EAN 9780896032460
ISBN 0896032469
Binding Paperback / softback
Publisher Humana Press Inc.
Publication date February 23, 1994
Pages 372
Language English
Dimensions 210 x 148
Country United States
Readership Professional & Scholarly
Authors Griffin Annette M.; Griffin Hugh G.
Illustrations XII, 372 p.
Edition 1994 ed.
Series Methods in Molecular Biology