Literature DB >> 11099260

TRES: comparative promoter sequence analysis.

M V Katti1, M K Sakharkar, P K Ranjekar, V S Gupta.   

Abstract

Comparative promoter analysis is a promising strategy for elucidation of common regulatory modules conserved in evolutionarily related sequences or in genes showing common expression profiles. To facilitate such analysis, we have developed a software tool that detects conserved transcription factor binding sites, cis-elements, palindromes and k-tuples simultaneously in a set of sequences, and thus helps to identify putative motifs for designing further experiments.

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Year:  2000        PMID: 11099260     DOI: 10.1093/bioinformatics/16.8.739

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

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Journal:  Protoplasma       Date:  2011-11-24       Impact factor: 3.356

2.  The minimal promoter region of the dense-core vesicle protein IA-2: transcriptional regulation by CREB.

Authors:  Tao Cai; Hiroki Hirai; Huanyu Xu; Abner L Notkins
Journal:  Acta Diabetol       Date:  2014-12-21       Impact factor: 4.280

3.  Cyclin D1 enhances the response to estrogen and progesterone by regulating progesterone receptor expression.

Authors:  Chuanwei Yang; Li Chen; Cuiqi Li; Mary C Lynch; Cathrin Brisken; Emmett V Schmidt
Journal:  Mol Cell Biol       Date:  2010-04-19       Impact factor: 4.272

4.  A novel mode of enhancer evolution: the Tal1 stem cell enhancer recruited a MIR element to specifically boost its activity.

Authors:  Aileen M Smith; Maria-Jose Sanchez; George A Follows; Sarah Kinston; Ian J Donaldson; Anthony R Green; Berthold Göttgens
Journal:  Genome Res       Date:  2008-08-07       Impact factor: 9.043

5.  Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequilibrium in eukaryote genomes using frequency distribution curves.

Authors:  Kenneth W Berendzen; Kurt Stüber; Klaus Harter; Dierk Wanke
Journal:  BMC Bioinformatics       Date:  2006-11-30       Impact factor: 3.169

6.  In silico and in vivo analysis reveal a novel gene in Saccharomyces cerevisiae trehalose metabolism.

Authors:  Joelma F De Mesquita; Anita D Panek; Pedro S de Araujo
Journal:  BMC Genomics       Date:  2003-11-13       Impact factor: 3.969

  6 in total

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