Literature DB >> 9088714

Software for the analysis of DNA sequence elements of transcription.

K Frech1, K Quandt, T Werner.   

Abstract

The detection of transcription control elements in DNA sequences became both more important and more complicated by the completion of the first full genome sequencing projects. Rapid evaluation of potential regulatory elements in large amounts of sequence data requires specific methods preferably available as user-friendly computer programs. However, many more algorithms and methods have been published than programs are available, creating problems for scientists who try to select an appropriate method for their needs from the literature. The Internet provides a worldwide and relatively easy access to computer software if the user knows where to look. One of the major problems remaining is how to find the appropriate software. We have compiled a guide detailing where software is available and what is to be expected in terms of interface and data compatibility with other programs. We also show results obtained with each program for several examples. The summarized features of each program should allow scientists to select quickly the method of their choice and inform them where to download the software.

Mesh:

Year:  1997        PMID: 9088714     DOI: 10.1093/bioinformatics/13.1.89

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


  11 in total

1.  Assessing clusters and motifs from gene expression data.

Authors:  L M Jakt; L Cao; K S Cheah; D K Smith
Journal:  Genome Res       Date:  2001-01       Impact factor: 9.043

2.  Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes.

Authors:  Giulio Pavesi; Paolo Mereghetti; Giancarlo Mauri; Graziano Pesole
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Comparative analysis of dioxin response elements in human, mouse and rat genomic sequences.

Authors:  Y V Sun; D R Boverhof; L D Burgoon; M R Fielden; T R Zacharewski
Journal:  Nucleic Acids Res       Date:  2004-08-24       Impact factor: 16.971

4.  Prediction of transcription regulatory sites in Archaea by a comparative genomic approach.

Authors:  M S Gelfand; E V Koonin; A A Mironov
Journal:  Nucleic Acids Res       Date:  2000-02-01       Impact factor: 16.971

5.  Predicting gene regulatory elements in silico on a genomic scale.

Authors:  A Brazma; I Jonassen; J Vilo; E Ukkonen
Journal:  Genome Res       Date:  1998-11       Impact factor: 9.043

6.  Databases on transcriptional regulation: TRANSFAC, TRRD and COMPEL.

Authors:  T Heinemeyer; E Wingender; I Reuter; H Hermjakob; A E Kel; O V Kel; E V Ignatieva; E A Ananko; O A Podkolodnaya; F A Kolpakov; N L Podkolodny; N A Kolchanov
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

7.  A computational genomics approach to the identification of gene networks.

Authors:  A Wagner
Journal:  Nucleic Acids Res       Date:  1997-09-15       Impact factor: 16.971

8.  MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes.

Authors:  Voichita D Marinescu; Isaac S Kohane; Alberto Riva
Journal:  BMC Bioinformatics       Date:  2005-03-30       Impact factor: 3.169

9.  Automated recognition of retroviral sequences in genomic data--RetroTector.

Authors:  Göran O Sperber; Tove Airola; Patric Jern; Jonas Blomberg
Journal:  Nucleic Acids Res       Date:  2007-07-17       Impact factor: 16.971

10.  In silico and in situ characterization of the zebrafish (Danio rerio) gnrh3 (sGnRH) gene.

Authors:  Jacob Torgersen; Rasoul Nourizadeh-Lillabadi; Harald Husebye; Peter Aleström
Journal:  BMC Genomics       Date:  2002-08-21       Impact factor: 3.969

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