Genome Biology

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Determining promoter location based on DNA structure first-principles calculations

J Ramon Goñi, Alberto Pérez, David Torrents and Modesto Orozco*

Genome Biology 2007, 8:R263 doi:10.1186/gb-2007-8-12-r263

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BioMed Central: 6 citations

Research article   Open Access Highly Accessed

A comparison study on feature selection of DNA structural properties for promoter prediction

Yanglan Gan, Jihong Guan, Shuigeng Zhou BMC Bioinformatics 2012, 13:4 (7 January 2012)

Research article   Open Access

Physical properties of naked DNA influence nucleosome positioning and correlate with transcription start and termination sites in yeast

Özgen Deniz, Oscar Flores, Federica Battistini, Alberto Pérez, Montserrat Soler-López, Modesto Orozco BMC Genomics 2011, 12:489 (7 October 2011)

Research   Open Access

Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data

Ravi Gupta, Priyankara Wikramasinghe, Anirban Bhattacharyya, Francisco A Perez, Sharmistha Pal, Ramana V Davuluri BMC Bioinformatics 2010, 11(Suppl 1):S65 (18 January 2010)

Methodology article   Open Access Highly Accessed

Profile analysis and prediction of tissue-specific CpG island methylation classes

Christopher Previti, Oscar Harari, Igor Zwir, Coral del Val BMC Bioinformatics 2009, 10:116 (21 April 2009)

Software   Open Access

ContDist: a tool for the analysis of quantitative gene and promoter properties

Michael Hackenberg, Gorka Lasso, Rune Matthiesen BMC Bioinformatics 2009, 10:7 (7 January 2009)

Method   Open Access

Core promoters are predicted by their distinct physicochemical properties in the genome of Plasmodium falciparum

Kevin Brick, Junichi Watanabe, Elisabetta Pizzi Genome Biology 2008, 9:R178 (18 December 2008)

A method is presented to computationally identify core promoters in the Plasmodium falciparum genome using only DNA physicochemical properties.