Regulatory Genomics : RECOMB 2004 International Workshop, RRG 2004, San Diego, CA, USA, March 26-27, 2004, Revised Selected Papers / / edited by Eleazar Eskin, Chris Workman

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
• Edizione: 1st ed. 2005.
• Descrizione fisica: 1 online resource (VIII, 116 p.)
• Disciplina: 572
• Soggetto topico: Biochemistry; Algorithms; Computer science - Mathematics; Discrete mathematics; Artificial intelligence - Data processing; Database management; Bioinformatics; Discrete Mathematics in Computer Science; Data Science; Database Management
• Altri autori: EskinEleazar WorkmanChris
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Regulatory genomics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483148503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Bioinformatics, . 2366-6331 ; ; 3318