Genome Biology

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Promoter features related to tissue specificity as measured by Shannon entropy

Jonathan Schug*, Winfried-Paul Schuller, Claudia Kappen, J Michael Salbaum, Maja Bucan and Christian J Stoeckert

Genome Biology 2005, 6:R33 doi:10.1186/gb-2005-6-4-r33

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Research article   Open Access

Expression cartography of human tissues using self organizing maps

Henry Wirth, Markus Löffler, Martin von Bergen, Hans Binder BMC Bioinformatics 2011, 12:306 (27 July 2011)

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YY1 is autoregulated through its own DNA-binding sites

Jeong Kim, Sungryul Yu, Joomyeong Kim BMC Molecular Biology 2009, 10:85 (27 August 2009)

Levels of the transcription factor Yin Yang 1 (YY1), which controls many genes and biological processes in vertebrates, is self-regulated through internal DNA-binding sites.

Research   Open Access Highly Accessed

Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome

Elizabeth A Rach, Hsiang-Yu Yuan, William H Majoros, Pavel Tomancak, Uwe Ohler Genome Biology 2009, 10:R73 (9 July 2009)

A map of transcription start sites across the Drosophila genome, providing insights into initiation patterns and spatiotemporal conditions.

Research article   Open Access

Maternal diabetes alters transcriptional programs in the developing embryo

Gabriela Pavlinkova, J Michael Salbaum, Claudia Kappen BMC Genomics 2009, 10:274 (18 June 2009)

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TIPT2 and geminin interact with basal transcription factors to synergize in transcriptional regulation

Mara E Pitulescu, Martin Teichmann, Lingfei Luo, Michael Kessel BMC Biochemistry 2009, 10:16 (10 June 2009)

A novel transcriptional regulator, isoform 2 of the TATA-binding protein-like factor-interacting protein (TIPT2), binds to the cell cycle regulatory protein geminin, and together they cooperate with chromatin associated factors and the basal transcription machinery to activate transcription synergistically.

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Conservation of core gene expression in vertebrate tissues

Esther T Chan, Gerald T Quon, Gordon Chua, Tomas Babak, Miles Trochesset, Ralph A Zirngibl, Jane Aubin, Michael JH Ratcliffe, Andrew Wilde, Michael Brudno, Quaid D Morris, Timothy R Hughes Journal of Biology 2009, 8:33 (16 April 2009)

High conservation of tissue-specific expression is found across vertebrates yet there is a lack of conservation in common regulatory sequences/signatures.

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Sample entropy analysis of cervical neoplasia gene-expression signatures

Shaleen K Botting, Jerome P Trzeciakowski, Michelle F Benoit, Salama A Salama, Concepcion R Diaz-Arrastia BMC Bioinformatics 2009, 10:66 (20 February 2009)

Patterns of gene expression indicative of cervical cancer can be detected using approximate entropy analysis of microarray datasets to identify genes displaying minimum variation in control tissue versus maximum variation in cancerous samples.

Research article   Open Access

Complex organizational structure of the genome revealed by genome-wide analysis of single and alternative promoters in Drosophila melanogaster

Qianqian Zhu, Marc S Halfon BMC Genomics 2009, 10:9 (7 January 2009)

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Identification of transcripts with enriched expression in the developing and adult pancreas

Brad G Hoffman, Bogard Zavaglia, Joy Witzsche, Teresa Ruiz de Algara, Mike Beach, Pamela A Hoodless, Steven JM Jones, Marco A Marra, Cheryl D Helgason Genome Biology 2008, 9:R99 (14 June 2008)

The expression profile of different developmental stages of the murine pancreas and predictions of transcription factor interactions, provides a framework for pancreas regulatory networks and development.

Research article   Open Access

Prediction and analysis of nucleosome exclusion regions in the human genome

Ahmed Radwan, Akmal Younis, Peter Luykx, Sawsan Khuri BMC Genomics 2008, 9:186 (22 April 2008)

Research article   Open Access

Links between core promoter and basic gene features influence gene expression

Sandra Moshonov, Rofa Elfakess, Michal Golan-Mashiach, Hadar Sinvani, Rivka Dikstein BMC Genomics 2008, 9:92 (25 February 2008)

Research Article   Open Access

Motif Discovery in Tissue-Specific Regulatory Sequences Using Directed Information

Arvind Rao, Alfred O Hero, David J States, James Engel EURASIP Journal on Bioinformatics and Systems Biology 2007, 2007:13853 (24 December 2007)

This article is part of a collection on Information Theoretic...

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Housekeeping genes tend to show reduced upstream sequence conservation

Domènec Farré, Nicolás Bellora, Loris Mularoni, Xavier Messeguer, M Mar Albà Genome Biology 2007, 8:R140 (13 July 2007)

Mammalian housekeeping genes show significantly lower promoter sequence conservation, especially upstream of position -500 with respect to the transcription start site, than genes expressed in a subset of tissues.

Method   Open Access

Boosting with stumps for predicting transcription start sites

Xiaoyue Zhao, Zhenyu Xuan, Michael Q Zhang Genome Biology 2007, 8:R17 (2 February 2007)

CoreBoost applies a boosting technique to select important features for predicting core promoters with diverse patterns.

Software   Open Access

REEF: searching REgionally Enriched Features in genomes

Alessandro Coppe, Gian Antonio Danieli, Stefania Bortoluzzi BMC Bioinformatics 2006, 7:453 (16 October 2006)

Research   Open Access

Transcriptional and structural impact of TATA-initiation site spacing in mammalian core promoters

Jasmina Ponjavic, Boris Lenhard, Chikatoshi Kai, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki, Albin Sandelin Genome Biology 2006, 7:R78 (17 August 2006)

Investigations of the spacing between TATA box and transcription start site in mouse core promoters reveals a coupling of spacing to tissue specificity.

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ROKU: a novel method for identification of tissue-specific genes

Koji Kadota, Jiazhen Ye, Yuji Nakai, Tohru Terada, Kentaro Shimizu BMC Bioinformatics 2006, 7:294 (12 June 2006)

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A classification based framework for quantitative description of large-scale microarray data

Dipen P Sangurdekar, Friedrich Srienc, Arkady B Khodursky Genome Biology 2006, 7:R32 (20 April 2006)

A new classification-based framework is presented that allows quantitative description of microarray data in terms of significance of co-expression within any gene group and condition-specific gene class activity.