Literature DB >> 6229715

Applications of parallel processing algorithms for DNA sequence analysis.

J F Collins, A F Coulson.   

Abstract

Programs have been written to apply parallel processing algorithms to the main methods of DNA sequence analysis. These programs allow the largest of currently interesting problems to be handled on a medium-sized computer system. The abundance of information otherwise not readily available has suggested new methods for the detection of homology and order in sequences.

Mesh:

Substances:

Year:  1984        PMID: 6229715      PMCID: PMC320995          DOI: 10.1093/nar/12.1part1.181

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  5 in total

1.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

2.  Computer analysis of nucleic acids and proteins.

Authors:  C L Queen; L J Korn
Journal:  Methods Enzymol       Date:  1980       Impact factor: 1.600

3.  Interactive computer programs in sequence data analysis.

Authors:  P Jagadeeswaran; P M McGuire
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

4.  Matrix program to analyze primary structure homology.

Authors:  J Novotny
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

5.  Sequence and gene organization of mouse mitochondrial DNA.

Authors:  M J Bibb; R A Van Etten; C T Wright; M W Walberg; D A Clayton
Journal:  Cell       Date:  1981-10       Impact factor: 41.582

  5 in total
  2 in total

1.  DNA sequence analysis: a procedure to find homologies among many sequences.

Authors:  G Krishnan; R K Kaul; P Jagadeeswaran
Journal:  Nucleic Acids Res       Date:  1986-01-10       Impact factor: 16.971

2.  Sequence similarity ('homology') searching for molecular biologists.

Authors:  D Davison
Journal:  Bull Math Biol       Date:  1985       Impact factor: 1.758

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.