Literature DB >> 1945887

SQUIRREL: Sequence QUery, Information Retrieval and REporting Library. A program package for analyzing signals in nucleic acid sequences for the VAX.

C J Gartmann1, U Grob.   

Abstract

A computer tool is described for comparison, analysis and search of genetic signals. The method is based on sequence consensus matrices. It assumes that a genetic signal (such as a promoter, enhancer or whatever) is composed of several signal blocks separated from each other by variable distances. A set of programs is presented to perform the analysis. The result of such an analysis is a description of the investigated signal including matrices for each signal block, distances between each block and distribution of the values. Programs are provided to search for a signal using results from previous analysis. The method is able to align large sets of sequences within a few minutes and to check the quality of the alignment. An analysis of E.coli promoters is provided as an example.

Entities:  

Mesh:

Year:  1991        PMID: 1945887      PMCID: PMC329063          DOI: 10.1093/nar/19.21.6033

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


  31 in total

1.  COOL--a VAX program for finding COmmon OLigomers in nucleic acid sequences. Thyroid hormone receptor sequences used as an example.

Authors:  U Grob; C J Gartmann
Journal:  Comput Appl Biosci       Date:  1991-07

2.  Application of a new method of pattern recognition in DNA sequence analysis: a study of E. coli promoters.

Authors:  N N Alexandrov; A A Mironov
Journal:  Nucleic Acids Res       Date:  1990-04-11       Impact factor: 16.971

3.  Identification of consensus patterns in unaligned DNA sequences known to be functionally related.

Authors:  G Z Hertz; G W Hartzell; G D Stormo
Journal:  Comput Appl Biosci       Date:  1990-04

4.  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

5.  Search for promoter sites of prokaryotic DNA using learning techniques.

Authors:  J Sallantin; J Haiech; F Rodier
Journal:  Biochimie       Date:  1985-05       Impact factor: 4.079

6.  Computer methods to locate signals in nucleic acid sequences.

Authors:  R Staden
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

7.  Escherichia coli promoter sequences predict in vitro RNA polymerase selectivity.

Authors:  M E Mulligan; D K Hawley; R Entriken; W R McClure
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

8.  Signal search analysis: a new method to localize and characterize functionally important DNA sequences.

Authors:  P Bucher; B Bryan
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

9.  A comprehensive set of sequence analysis programs for the VAX.

Authors:  J Devereux; P Haeberli; O Smithies
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

10.  Use of the 'Perceptron' algorithm to distinguish translational initiation sites in E. coli.

Authors:  G D Stormo; T D Schneider; L Gold; A Ehrenfeucht
Journal:  Nucleic Acids Res       Date:  1982-05-11       Impact factor: 16.971

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  1 in total

1.  WORDUP: an efficient algorithm for discovering statistically significant patterns in DNA sequences.

Authors:  G Pesole; N Prunella; S Liuni; M Attimonelli; C Saccone
Journal:  Nucleic Acids Res       Date:  1992-06-11       Impact factor: 16.971

  1 in total

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