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020 _a9781592595129
024 7 _a10.1385/0896032760
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aGriffin, Annette M.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aComputer Analysis of Sequence Data Part II
_cby Annette M. Griffin, Hugh G. Griffin.
250 _a1st edition 1994
264 1 _aTotowa, NJ
_bHumana Press
_c1994
300 _a1 recurso en línea (XII, 433 páginas)
_b
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v25
505 0 _aComputer Analysis of Sequence Data -- Staden: Introduction -- Staden: Sequence Input, Editing, and Sequence Library Use -- Staden: Managing Sequence Projects -- Staden: Statistical and Structural Analysis of Nucleotide Sequences -- Staden: Searching for Restriction Sites -- Staden: Translating and Listing Nucleic Acid Sequences -- Staden: Searching for Motifs in Nucleic Acid Sequences -- Staden: Using Patterns to Analyze Nucleic Acid Sequences -- Staden: Analyzing Sequences to Find Genes -- Staden: Statistical and Structural Analysis of Protein Sequences -- Staden: Searching for Motifs in Protein Sequences -- Staden: Using Patterns to Analyze Protein Sequences -- Staden: Comparing Sequences -- Staden Plus -- DNA Strider -- MacVector: An Integrated Sequence Analysis Program for the Macintosh -- MacVector: Aligning Sequences -- MacVector: Sequence Comparisons Using a Matrix Method -- MacVector: Restriction Enzyme Analysis -- Mac Vector: Protein Analysis -- Profile Analysis -- Prediction of RNA Secondary Structure by Energy Minimization -- Classification and Function Prediction of Proteins Using Diagnostic Amino Acid Patterns -- Clustal V: Multiple Alignment of DNA and Protein Sequences -- Progressive Multiple Alignment of Protein Sequences and the Construction of Phylogenetic Trees -- The AMPS Package for Multiple Protein Sequence Alignment -- TreeAlign -- Using the FASTA Program to Search Protein and DNA Sequence Databases -- Converting Between Sequence Formats -- Obtaining Software via INTERNET -- Submission of Nucleotide Sequence Data to EMBIVGenBank/DDB J.
520 _aDNA 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.
700 1 _aGriffin, Hugh G.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9781489939203
776 0 8 _iPrinted edition:
_z9780896032767
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1385/0896032760
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_1994
999 _c233749
_d233749