Literature DB >> 15215381

A suite of web-based programs to search for transcriptional regulatory motifs.

Yueyi Liu1, Liping Wei, Serafim Batzoglou, Douglas L Brutlag, Jun S Liu, X Shirley Liu.   

Abstract

The identification of regulatory motifs is important for the study of gene expression. Here we present a suite of programs that we have developed to search for regulatory sequence motifs: (i) BioProspector, a Gibbs-sampling-based program for predicting regulatory motifs from co-regulated genes in prokaryotes or lower eukaryotes; (ii) CompareProspector, an extension to BioProspector which incorporates comparative genomics features to be used for higher eukaryotes; (iii) MDscan, a program for finding protein-DNA interaction sites from ChIP-on-chip targets. All three programs examine a group of sequences that may share common regulatory motifs and output a list of putative motifs as position-specific probability matrices, the individual sites used to construct the motifs and the location of each site on the input sequences. The web servers and executables can be accessed at http://seqmotifs.stanford.edu.

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Substances:

Year:  2004        PMID: 15215381      PMCID: PMC441599          DOI: 10.1093/nar/gkh461

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


  10 in total

1.  BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes.

Authors:  X Liu; D L Brutlag; J S Liu
Journal:  Pac Symp Biocomput       Date:  2001

2.  LAGAN and Multi-LAGAN: efficient tools for large-scale multiple alignment of genomic DNA.

Authors:  Michael Brudno; Chuong B Do; Gregory M Cooper; Michael F Kim; Eugene Davydov; Eric D Green; Arend Sidow; Serafim Batzoglou
Journal:  Genome Res       Date:  2003-03-12       Impact factor: 9.043

3.  BioOptimizer: a Bayesian scoring function approach to motif discovery.

Authors:  Shane T Jensen; Jun S Liu
Journal:  Bioinformatics       Date:  2004-02-12       Impact factor: 6.937

4.  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

5.  Integrating regulatory motif discovery and genome-wide expression analysis.

Authors:  Erin M Conlon; X Shirley Liu; Jason D Lieb; Jun S Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

6.  Fitting a mixture model by expectation maximization to discover motifs in biopolymers.

Authors:  T L Bailey; C Elkan
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1994

Review 7.  Genomic strategies to identify mammalian regulatory sequences.

Authors:  L A Pennacchio; E M Rubin
Journal:  Nat Rev Genet       Date:  2001-02       Impact factor: 53.242

8.  An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments.

Authors:  X Shirley Liu; Douglas L Brutlag; Jun S Liu
Journal:  Nat Biotechnol       Date:  2002-07-08       Impact factor: 54.908

9.  Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation.

Authors:  F P Roth; J D Hughes; P W Estep; G M Church
Journal:  Nat Biotechnol       Date:  1998-10       Impact factor: 54.908

10.  Eukaryotic regulatory element conservation analysis and identification using comparative genomics.

Authors:  Yueyi Liu; X Shirley Liu; Liping Wei; Russ B Altman; Serafim Batzoglou
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

  10 in total
  17 in total

1.  Quantitative statistical analysis of cis-regulatory sequences in ABA/VP1- and CBF/DREB1-regulated genes of Arabidopsis.

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Authors:  Suisheng Tang; Sin Lam Tan; Suresh Kumar Ramadoss; Arun Prashanth Kumar; Man-Hung Eric Tang; Vladimir B Bajic
Journal:  Nucleic Acids Res       Date:  2004-12-01       Impact factor: 16.971

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Journal:  EMBO J       Date:  2007-11-15       Impact factor: 11.598

4.  Recent computational approaches to understand gene regulation: mining gene regulation in silico.

Authors:  I Abnizova; T Subhankulova; Wr Gilks
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

Review 5.  Mechanisms and evolution of control logic in prokaryotic transcriptional regulation.

Authors:  Sacha A F T van Hijum; Marnix H Medema; Oscar P Kuipers
Journal:  Microbiol Mol Biol Rev       Date:  2009-09       Impact factor: 11.056

6.  Expression of Arabidopsis MIRNA genes.

Authors:  Zhixin Xie; Edwards Allen; Noah Fahlgren; Adam Calamar; Scott A Givan; James C Carrington
Journal:  Plant Physiol       Date:  2005-07-22       Impact factor: 8.340

7.  The Rok protein of Bacillus subtilis represses genes for cell surface and extracellular functions.

Authors:  Mark Albano; Wiep Klaas Smits; Linh T Y Ho; Barbara Kraigher; Ines Mandic-Mulec; Oscar P Kuipers; David Dubnau
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

8.  De novo identification and biophysical characterization of transcription-factor binding sites with microfluidic affinity analysis.

Authors:  Polly M Fordyce; Doron Gerber; Danh Tran; Jiashun Zheng; Hao Li; Joseph L DeRisi; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2010-08-29       Impact factor: 54.908

9.  Human promoter genomic composition demonstrates non-random groupings that reflect general cellular function.

Authors:  Markey C McNutt; Ron Tongbai; Wenwu Cui; Irene Collins; Wendy J Freebern; Idalia Montano; Cynthia M Haggerty; Gvr Chandramouli; Kevin Gardner
Journal:  BMC Bioinformatics       Date:  2005-10-18       Impact factor: 3.169

10.  Functional promoter testing using a modified lentiviral transfer vector.

Authors:  Scott F Geller; Phillip S Ge; Meike Visel; Kenneth P Greenberg; John G Flannery
Journal:  Mol Vis       Date:  2007-05-17       Impact factor: 2.367

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