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Workman / Eskin

Regulatory Genomics

RECOMB 2004 International Workshop, RRG 2004, San Diego, CA, USA, March 26-27, 2004, Revised Selected Papers

Medium: Buch
ISBN: 978-3-540-24456-1
Verlag: Springer Berlin Heidelberg
Erscheinungstermin: 16.02.2005
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783540244561
  • Medium: Buch
  • ISBN: 978-3-540-24456-1
  • Verlag: Springer Berlin Heidelberg
  • Erscheinungstermin: 16.02.2005
  • Sprache(n): Englisch
  • Auflage: 2005
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 204 g
  • Seiten: 116
  • Format (B x H x T): 155 x 235 x 8 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.