Literature DB >> 10673015

Promoter sequences and algorithmical methods for identifying them.

A Vanet1, L Marsan, M F Sagot.   

Abstract

This paper presents a survey of currently available mathematical models and algorithmical methods for trying to identify promoter sequences. The methods concern both searching in a genome for a previously defined consensus and extracting a consensus from a set of sequences. Such methods were often tailored for either eukaryotes or prokaryotes although this does not preclude use of the same method for both types of organisms. The survey therefore covers all methods; however, emphasis is placed on prokaryotic promoter sequence identification. Illustrative applications of the main extracting algorithms are given for three bacteria.

Mesh:

Year:  1999        PMID: 10673015     DOI: 10.1016/s0923-2508(99)00115-1

Source DB:  PubMed          Journal:  Res Microbiol        ISSN: 0923-2508            Impact factor:   3.992


  15 in total

Review 1.  Computational approaches to identify promoters and cis-regulatory elements in plant genomes.

Authors:  Stephane Rombauts; Kobe Florquin; Magali Lescot; Kathleen Marchal; Pierre Rouzé; Yves van de Peer
Journal:  Plant Physiol       Date:  2003-07       Impact factor: 8.340

2.  Stress-induced DNA duplex destabilization (SIDD) in the E. coli genome: SIDD sites are closely associated with promoters.

Authors:  Huiquan Wang; Michiel Noordewier; Craig J Benham
Journal:  Genome Res       Date:  2004-08       Impact factor: 9.043

3.  Prospective estimation of recombination signal efficiency and identification of functional cryptic signals in the genome by statistical modeling.

Authors:  Lindsay G Cowell; Marco Davila; Kaiyong Yang; Thomas B Kepler; Garnett Kelsoe
Journal:  J Exp Med       Date:  2003-01-20       Impact factor: 14.307

4.  An ANN-GA model based promoter prediction in Arabidopsis thaliana using tilling microarray data.

Authors:  Hrishikesh Mishra; Nitya Singh; Krishna Misra; Tapobrata Lahiri
Journal:  Bioinformation       Date:  2011-06-06

5.  Computing distribution of scale independent motifs in biological sequences.

Authors:  Jonas S Almeida; Susana Vinga
Journal:  Algorithms Mol Biol       Date:  2006-10-18       Impact factor: 1.405

6.  Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.

Authors:  Mostafa M Abbas; Mostafa M Mohie-Eldin; Yasser El-Manzalawy
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

Review 7.  Integrating sequence, evolution and functional genomics in regulatory genomics.

Authors:  Martin Vingron; Alvis Brazma; Richard Coulson; Jacques van Helden; Thomas Manke; Kimmo Palin; Olivier Sand; Esko Ukkonen
Journal:  Genome Biol       Date:  2009-01-30       Impact factor: 13.583

8.  Local Renyi entropic profiles of DNA sequences.

Authors:  Susana Vinga; Jonas S Almeida
Journal:  BMC Bioinformatics       Date:  2007-10-16       Impact factor: 3.169

9.  Identification and utilization of arbitrary correlations in models of recombination signal sequences.

Authors:  Lindsay G Cowell; Marco Davila; Thomas B Kepler; Garnett Kelsoe
Journal:  Genome Biol       Date:  2002-11-21       Impact factor: 13.583

10.  Triad pattern algorithm for predicting strong promoter candidates in bacterial genomes.

Authors:  Michael Dekhtyar; Amelie Morin; Vehary Sakanyan
Journal:  BMC Bioinformatics       Date:  2008-05-09       Impact factor: 3.169

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