Literature DB >> 2898280

Methods to define and locate patterns of motifs in sequences.

R Staden1.   

Abstract

A method to define and search for complex patterns of motifs in nucleic acid and protein sequences is described. With this method nucleic acid motifs can be defined in eight different ways and protein motifs in six. A pattern is defined by a list of motifs. The motifs in a list are combined using the logical operators AND, OR and NOT. The list also defines the ranges of allowed separations of the motifs in the pattern. Programs to search for patterns in individual sequences and libraries of sequences are described. Patterns are defined by users and stored as annotated disk files. Hence the programming to define and locate new structures can be performed by users and fewer specific novel algorithms should be required. Examples are given of searches for transcription initiation regions, nematode mitochondrial tRNA genes and for members of the globin sequence family.

Mesh:

Year:  1988        PMID: 2898280     DOI: 10.1093/bioinformatics/4.1.53

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  23 in total

1.  Primary structure of tektin A1: comparison with intermediate-filament proteins and a model for its association with tubulin.

Authors:  J M Norrander; L A Amos; R W Linck
Journal:  Proc Natl Acad Sci U S A       Date:  1992-09-15       Impact factor: 11.205

2.  SRP-RNA sequence alignment and secondary structure.

Authors:  N Larsen; C Zwieb
Journal:  Nucleic Acids Res       Date:  1991-01-25       Impact factor: 16.971

3.  SigF controls carotenoid pigment production and affects transformation efficiency and hydrogen peroxide sensitivity in Mycobacterium smegmatis.

Authors:  Roberta Provvedi; Dana Kocíncová; Valentina Donà; Daniel Euphrasie; Mamadou Daffé; Gilles Etienne; Riccardo Manganelli; Jean-Marc Reyrat
Journal:  J Bacteriol       Date:  2008-09-19       Impact factor: 3.490

Review 4.  The Staden sequence analysis package.

Authors:  R Staden
Journal:  Mol Biotechnol       Date:  1996-06       Impact factor: 2.695

5.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

6.  Identifying protein-binding sites from unaligned DNA fragments.

Authors:  G D Stormo; G W Hartzell
Journal:  Proc Natl Acad Sci U S A       Date:  1989-02       Impact factor: 11.205

7.  Purification, cloning, and primary structure of a new enantiomer-selective amidase from a Rhodococcus strain: structural evidence for a conserved genetic coupling with nitrile hydratase.

Authors:  J F Mayaux; E Cerbelaud; F Soubrier; P Yeh; F Blanche; D Pétré
Journal:  J Bacteriol       Date:  1991-11       Impact factor: 3.490

8.  Analysis of human immunodeficiency virus type 1 nef gene sequences present in vivo.

Authors:  D C Shugars; M S Smith; D H Glueck; P V Nantermet; F Seillier-Moiseiwitsch; R Swanstrom
Journal:  J Virol       Date:  1993-08       Impact factor: 5.103

9.  Additional microsatellite markers for mouse genome mapping.

Authors:  C M Hearne; M A McAleer; J M Love; T J Aitman; R J Cornall; S Ghosh; A M Knight; J B Prins; J A Todd
Journal:  Mamm Genome       Date:  1991       Impact factor: 2.957

10.  On the detection and refinement of transcription factor binding sites using ChIP-Seq data.

Authors:  Ming Hu; Jindan Yu; Jeremy M G Taylor; Arul M Chinnaiyan; Zhaohui S Qin
Journal:  Nucleic Acids Res       Date:  2010-01-06       Impact factor: 16.971

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