Literature DB >> 22199387

CLARE: Cracking the LAnguage of Regulatory Elements.

Leila Taher1, Leelavati Narlikar, Ivan Ovcharenko.   

Abstract

UNLABELLED: CLARE is a computational method designed to reveal sequence encryption of tissue-specific regulatory elements. Starting with a set of regulatory elements known to be active in a particular tissue/process, it learns the sequence code of the input set and builds a predictive model from features specific to those elements. The resulting model can then be applied to user-supplied genomic regions to identify novel candidate regulatory elements. CLARE's model also provides a detailed analysis of transcription factors that most likely bind to the elements, making it an invaluable tool for understanding mechanisms of tissue-specific gene regulation. AVAILABILITY: CLARE is freely accessible at http://clare.dcode.org/.

Mesh:

Substances:

Year:  2011        PMID: 22199387      PMCID: PMC3278760          DOI: 10.1093/bioinformatics/btr704

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


  15 in total

1.  Building a dictionary for genomes: identification of presumptive regulatory sites by statistical analysis.

Authors:  H J Bussemaker; H Li; E D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

2.  ECRbase: database of evolutionary conserved regions, promoters, and transcription factor binding sites in vertebrate genomes.

Authors:  Gabriela Loots; Ivan Ovcharenko
Journal:  Bioinformatics       Date:  2006-11-07       Impact factor: 6.937

3.  Footer: a quantitative comparative genomics method for efficient recognition of cis-regulatory elements.

Authors:  David L Corcoran; Eleanor Feingold; Jessica Dominick; Marietta Wright; Jo Harnaha; Massimo Trucco; Nick Giannoukakis; Panayiotis V Benos
Journal:  Genome Res       Date:  2005-06       Impact factor: 9.043

4.  Histone modifications at human enhancers reflect global cell-type-specific gene expression.

Authors:  Nathaniel D Heintzman; Gary C Hon; R David Hawkins; Pouya Kheradpour; Alexander Stark; Lindsey F Harp; Zhen Ye; Leonard K Lee; Rhona K Stuart; Christina W Ching; Keith A Ching; Jessica E Antosiewicz-Bourget; Hui Liu; Xinmin Zhang; Roland D Green; Victor V Lobanenkov; Ron Stewart; James A Thomson; Gregory E Crawford; Manolis Kellis; Bing Ren
Journal:  Nature       Date:  2009-03-18       Impact factor: 49.962

5.  ChIP-seq accurately predicts tissue-specific activity of enhancers.

Authors:  Axel Visel; Matthew J Blow; Zirong Li; Tao Zhang; Jennifer A Akiyama; Amy Holt; Ingrid Plajzer-Frick; Malak Shoukry; Crystal Wright; Feng Chen; Veena Afzal; Bing Ren; Edward M Rubin; Len A Pennacchio
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

6.  UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions.

Authors:  Kimberly Robasky; Martha L Bulyk
Journal:  Nucleic Acids Res       Date:  2010-10-30       Impact factor: 16.971

7.  TRANSFAC and its module TRANSCompel: transcriptional gene regulation in eukaryotes.

Authors:  V Matys; O V Kel-Margoulis; E Fricke; I Liebich; S Land; A Barre-Dirrie; I Reuter; D Chekmenev; M Krull; K Hornischer; N Voss; P Stegmaier; B Lewicki-Potapov; H Saxel; A E Kel; E Wingender
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update.

Authors:  Jan Christian Bryne; Eivind Valen; Man-Hung Eric Tang; Troels Marstrand; Ole Winther; Isabelle da Piedade; Anders Krogh; Boris Lenhard; Albin Sandelin
Journal:  Nucleic Acids Res       Date:  2007-11-15       Impact factor: 16.971

9.  PAP: a comprehensive workbench for mammalian transcriptional regulatory sequence analysis.

Authors:  Li-Wei Chang; Burr R Fontaine; Gary D Stormo; Rakesh Nagarajan
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

10.  A nucleosome-guided map of transcription factor binding sites in yeast.

Authors:  Leelavati Narlikar; Raluca Gordân; Alexander J Hartemink
Journal:  PLoS Comput Biol       Date:  2007-09-24       Impact factor: 4.475

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  8 in total

1.  Mechanisms of Evolutionary Innovation Point to Genetic Control Logic as the Key Difference Between Prokaryotes and Eukaryotes.

Authors:  William Bains; Dirk Schulze-Makuch
Journal:  J Mol Evol       Date:  2015-07-25       Impact factor: 2.395

Review 2.  Perspectives on Gene Regulatory Network Evolution.

Authors:  Marc S Halfon
Journal:  Trends Genet       Date:  2017-05-18       Impact factor: 11.639

Review 3.  Identifying transcriptional cis-regulatory modules in animal genomes.

Authors:  Kushal Suryamohan; Marc S Halfon
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2014-12-29       Impact factor: 5.814

Review 4.  Identification and computational analysis of gene regulatory elements.

Authors:  Leila Taher; Leelavati Narlikar; Ivan Ovcharenko
Journal:  Cold Spring Harb Protoc       Date:  2015-01-05

5.  Short DNA sequence patterns accurately identify broadly active human enhancers.

Authors:  Laura L Colbran; Ling Chen; John A Capra
Journal:  BMC Genomics       Date:  2017-07-17       Impact factor: 3.969

6.  Integrating diverse datasets improves developmental enhancer prediction.

Authors:  Genevieve D Erwin; Nir Oksenberg; Rebecca M Truty; Dennis Kostka; Karl K Murphy; Nadav Ahituv; Katherine S Pollard; John A Capra
Journal:  PLoS Comput Biol       Date:  2014-06-26       Impact factor: 4.475

7.  A new method for enhancer prediction based on deep belief network.

Authors:  Hongda Bu; Yanglan Gan; Yang Wang; Shuigeng Zhou; Jihong Guan
Journal:  BMC Bioinformatics       Date:  2017-10-16       Impact factor: 3.169

8.  Prediction of gene regulatory enhancers across species reveals evolutionarily conserved sequence properties.

Authors:  Ling Chen; Alexandra E Fish; John A Capra
Journal:  PLoS Comput Biol       Date:  2018-10-04       Impact factor: 4.475

  8 in total

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