Eleazar Eskin / Chris Workman (eds.)

Regulatory Genomics

RECOMB 2004 International Workshop, RRG 2004, San Diego, CA, USA, March 26-27, 2004, Revised Selected Papers
Herausgegeben:Eskin, Eleazar; Workman, Chris

• Broschiertes Buch

Produktbeschreibung

Research in the ?eld of gene regulation is evolving rapidly in an ever-changing s- enti?c environment. Microarray techniques and comparative genomics have enabled more comprehensive studies of regulatory genomics and are proving to be powerful tools of discovery. The application of chromatin immunoprecipitation and microarrays (chIP-on-chip) to directly study the genomic binding locations of transcription factors has enabled more comprehensive modeling of regulatory networks. In addition, c- plete genome sequences and the comparison of numerous related species has dem- strated that conservation in non-coding DNA sequences often provides evidence for cis-regulatory binding sites. That said, much is still to be learned about the regulatory networks of these sequenced genomes. Systematic methods to decipher the regulatory mechanism are also crucial for c- roboratingthese regulatorynetworks.Thecoreof thesemethodsarethe motifdiscovery algorithms that can help predict cis-regulatory elements. These DNA-motif discovery programsarebecomingmoresophisticatedandare beginningto leverageevidencefrom comparative genomics (phylogenetic footprinting) and chIP-on-chip studies. How to use these new sources of evidence is an active area of research.

Produktdetails

• Lecture Notes in Computer Science 3318
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 11380795, 978-3-540-24456-1
• 2005
• Seitenzahl: 126
• Erscheinungstermin: 16. Februar 2005
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 191g
• ISBN-13: 9783540244561
• ISBN-10: 3540244565
• Artikelnr.: 21096295

Autorenporträt

Eleazar Eskin, University of California, San Diego, USA / Chris Workman, University of California, San Diego, USA

Inhaltsangabe

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response.- Detecting Functional Modules of Transcription Factor Binding Sites in the Human Genome.- Fishing for Proteins in the Pacific Northwest.- PhyloGibbs: A Gibbs Sampler Incorporating Phylogenetic Information.- Application of Kernel Method to Reveal Subtypes of TF Binding Motifs.- Learning Regulatory Network Models that Represent Regulator States and Roles.- Using Expression Data to Discover RNA and DNA Regulatory Sequence Motifs.- Parameter Landscape Analysis for Common Motif Discovery Programs.- Inferring Cis-region Hierarchies from Patterns in Time-Course Gene Expression Data.- Modeling and Analysis of Heterogeneous Regulation in Biological Networks.