Computer Analysis of Sequence Data Part II

Computer Analysis of Sequence Data Part II
Author :
Publisher : Springer Science & Business Media
Total Pages : 434
Release :
ISBN-10 : 9781592595129
ISBN-13 : 159259512X
Rating : 4/5 (12X Downloads)

Book Synopsis Computer Analysis of Sequence Data Part II by : Annette M. Griffin

Download or read book Computer Analysis of Sequence Data Part II written by Annette M. Griffin and published by Springer Science & Business Media. This book was released on 2008-02-02 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: DNA sequencing has become increasingly efficient over the years, resulting in an enormous increase in the amount of data gener 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 essen tial to analysis, and a familiarity with computers and sequence analy 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 Computer Analysis of Sequence 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 pro tein) sequences. Each chapter is written such that a competent scien tist with basic computer literacy can carry out the procedure successfully at the first attempt by simply following the detailed prac 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 encoun tered by users of the sequence analysis software.


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