| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910483148503321 |
|
|
Titolo |
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 |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
|
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2005.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (VIII, 116 p.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Bioinformatics, , 2366-6331 ; ; 3318 |
|
|
|
|
|
|
Altri autori (Persone) |
|
EskinEleazar |
WorkmanChris |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Biochemistry |
Algorithms |
Computer science - Mathematics |
Discrete mathematics |
Artificial intelligence - Data processing |
Database management |
Bioinformatics |
Discrete Mathematics in Computer Science |
Data Science |
Database Management |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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. |
|
|
|
|
|
|
|
| |