Literature DB >> 12715831

The state of the art of mammalian promoter recognition.

Thomas Werner1.   

Abstract

The draft sequences of whole genomes are being published at an ever-increasing pace, thus providing access to the human genomic sequence and, more recently, the mouse sequence. Genomes of the invertebrates are also becoming available. Now that the genomic DNA of mammalian species is available, an old problem can be tackled with renewed vigour mammalian promoter prediction. Gene promoters have proved elusive for more than a decade, despite their pivotal role in gene regulation. Recently, however, several new developments have made it possible to make meaningful large-scale predictions. This paper reviews the methods used for the prediction of mammalian, mostly human, promoters.

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Year:  2003        PMID: 12715831     DOI: 10.1093/bib/4.1.22

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  14 in total

Review 1.  Comparative genomics: methods and applications.

Authors:  Bernhard Haubold; Thomas Wiehe
Journal:  Naturwissenschaften       Date:  2004-06-25

2.  A code for transcription initiation in mammalian genomes.

Authors:  Martin C Frith; Eivind Valen; Anders Krogh; Yoshihide Hayashizaki; Piero Carninci; Albin Sandelin
Journal:  Genome Res       Date:  2007-11-21       Impact factor: 9.043

3.  Generic eukaryotic core promoter prediction using structural features of DNA.

Authors:  Thomas Abeel; Yvan Saeys; Eric Bonnet; Pierre Rouzé; Yves Van de Peer
Journal:  Genome Res       Date:  2007-12-20       Impact factor: 9.043

4.  Profiling the thermodynamic softness of adenoviral promoters.

Authors:  Chu H Choi; Zoi Rapti; Vladimir Gelev; Michele R Hacker; Boian Alexandrov; Evelyn J Park; Jae Suk Park; Nobuo Horikoshi; Augusto Smerzi; Kim Ø Rasmussen; Alan R Bishop; Anny Usheva
Journal:  Biophys J       Date:  2008-04-04       Impact factor: 4.033

5.  Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.

Authors:  Meng Zhang; Cangzhi Jia; Fuyi Li; Chen Li; Yan Zhu; Tatsuya Akutsu; Geoffrey I Webb; Quan Zou; Lachlan J M Coin; Jiangning Song
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

6.  Down-regulation of Rad51 and decreased homologous recombination in hypoxic cancer cells.

Authors:  Ranjit S Bindra; Paul J Schaffer; Alice Meng; Jennifer Woo; Kårstein Måseide; Matt E Roth; Paul Lizardi; David W Hedley; Robert G Bristow; Peter M Glazer
Journal:  Mol Cell Biol       Date:  2004-10       Impact factor: 4.272

7.  Identification of CHO endogenous promoter elements based on a genomic library approach.

Authors:  Jens Pontiller; Stefan Gross; Haruthai Thaisuchat; Friedemann Hesse; Wolfgang Ernst
Journal:  Mol Biotechnol       Date:  2008-06       Impact factor: 2.695

8.  GSMA: Gene Set Matrix Analysis, An Automated Method for Rapid Hypothesis Testing of Gene Expression Data.

Authors:  Chris Cheadle; Tonya Watkins; Jinshui Fan; Marc A Williams; Steven Georas; John Hall; Antony Rosen; Kathleen C Barnes
Journal:  Bioinform Biol Insights       Date:  2009-11-24

Review 9.  Opportunities and obstacles for deep learning in biology and medicine.

Authors:  Travers Ching; Daniel S Himmelstein; Brett K Beaulieu-Jones; Alexandr A Kalinin; Brian T Do; Gregory P Way; Enrico Ferrero; Paul-Michael Agapow; Michael Zietz; Michael M Hoffman; Wei Xie; Gail L Rosen; Benjamin J Lengerich; Johnny Israeli; Jack Lanchantin; Stephen Woloszynek; Anne E Carpenter; Avanti Shrikumar; Jinbo Xu; Evan M Cofer; Christopher A Lavender; Srinivas C Turaga; Amr M Alexandari; Zhiyong Lu; David J Harris; Dave DeCaprio; Yanjun Qi; Anshul Kundaje; Yifan Peng; Laura K Wiley; Marwin H S Segler; Simina M Boca; S Joshua Swamidass; Austin Huang; Anthony Gitter; Casey S Greene
Journal:  J R Soc Interface       Date:  2018-04       Impact factor: 4.293

10.  Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides.

Authors:  Jian-Yi Yang; Yu Zhou; Zu-Guo Yu; Vo Anh; Li-Qian Zhou
Journal:  BMC Bioinformatics       Date:  2008-02-24       Impact factor: 3.169

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