Literature DB >> 12209016

Exploring genetic regulatory networks in metazoan development: methods and models.

Marc S Halfon1, Alan M Michelson.   

Abstract

One of the foremost challenges of 21st century biological research will be to decipher the complex genetic regulatory networks responsible for embryonic development. The recent explosion of whole genome sequence data and of genome-wide transcriptional profiling methods, such as microarrays, coupled with the development of sophisticated computational tools for exploiting and analyzing genomic data, provide a significant starting point for regulatory network analysis. In this article we review some of the main methodological issues surrounding genome annotation, transcriptional profiling, and computational prediction of cis-regulatory elements and discuss how the power of model genetic organisms can be used to experimentally verify and extend the results of genomic research.

Mesh:

Year:  2002        PMID: 12209016     DOI: 10.1152/physiolgenomics.00072.2002

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  9 in total

Review 1.  In silico identification of metazoan transcriptional regulatory regions.

Authors:  Wyeth W Wasserman; William Krivan
Journal:  Naturwissenschaften       Date:  2003-03-27

Review 2.  High throughput gene expression profiling: a molecular approach to integrative physiology.

Authors:  Mingyu Liang; Allen W Cowley; Andrew S Greene
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

3.  A mixture model approach to detecting differentially expressed genes with microarray data.

Authors:  Wei Pan; Jizhen Lin; Chap T Le
Journal:  Funct Integr Genomics       Date:  2003-07-01       Impact factor: 3.410

4.  Decoding human regulatory circuits.

Authors:  William Thompson; Michael J Palumbo; Wyeth W Wasserman; Jun S Liu; Charles E Lawrence
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

5.  Integrated analysis of yeast regulatory sequences for biologically linked clusters of genes.

Authors:  Albin Sandelin; Annette Höglund; Boris Lenhard; Wyeth W Wasserman
Journal:  Funct Integr Genomics       Date:  2003-06-25       Impact factor: 3.410

6.  The evolutionary panorama of organ-specifically expressed or repressed orthologous genes in nine vertebrate species.

Authors:  Libing Shen; Gangbiao Liu; Yangyun Zou; Zhan Zhou; Zhixi Su; Xun Gu
Journal:  PLoS One       Date:  2015-02-13       Impact factor: 3.240

7.  Characterization of binding sites of eukaryotic transcription factors.

Authors:  Jiang Qian; Jimmy Lin; Donald J Zack
Journal:  Genomics Proteomics Bioinformatics       Date:  2006-05       Impact factor: 7.691

8.  Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules.

Authors:  Valentina Boeva; Julien Clément; Mireille Régnier; Mikhail A Roytberg; Vsevolod J Makeev
Journal:  Algorithms Mol Biol       Date:  2007-10-10       Impact factor: 1.405

9.  Large-scale analysis of transcriptional cis-regulatory modules reveals both common features and distinct subclasses.

Authors:  Long Li; Qianqian Zhu; Xin He; Saurabh Sinha; Marc S Halfon
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

  9 in total

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