Name
Title | ||
|---|---|---|
Biological data warehousing system for identifying transcriptional regulatory sites from gene expressions of microarray data. |
Abstract | ||
|---|---|---|
Identification of transcriptional regulatory sites plays an important role in the investigation of gene regulation. For this propose, we designed and implemented a data warehouse to integrate multiple heterogeneous biological data sources with data types such as text-file, XML, image, MySQL database model, and Oracle database model. The utility of the biological data warehouse in predicting transcriptional regulatory sites of coregulated genes was explored using a synexpression group derived from a microarray study. Both of the binding sites of known transcription factors and predicted over-represented (OR) oligonucleotides were demonstrated for the gene group. The potential biological roles of both known nucleotides and one OR nucleotide were demonstrated using bioassays. Therefore, the results from the wet-lab experiments reinforce the power and utility of the data warehouse as an approach to the genome-wide search for important transcription regulatory elements that are the key to many complex biological systems. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TITB.2005.862466 | IEEE Transactions on Information Technology in Biomedicine |
Keywords | Field | DocType |
complex biological system,biological data warehousing system,synexpression group,multiple heterogeneous biological data,mysql database model,transcription factor.,identifying transcriptional regulatory sites,gene expression,data warehouse,biological data warehouse,data type,indexterms—databases,microarray data,oracle database model,microarray,gene expressions,transcriptional regulatory site,gene regulation,potential biological role,important transcription regulatory element,regulatory sites,biological data,sun,molecular biophysics,biological systems,binding site,nucleotides,sql,identification,biochemistry,xml,data warehouses,binding sites,warehousing,transcription factors,genetics,bioassays,sequences,image,genomics,transcription factor,database management systems,bioinformatics,databases | Data warehouse,Biological data,Data mining,Gene,Database model,Computer science,Regulation of gene expression,Microarray analysis techniques,Synexpression,Transcription factor | Journal |
Volume | Issue | ISSN |
10 | 3 | 1089-7771 |
Citations | PageRank | References |
1 | 0.36 | 19 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann-Ping Tsou | 1 | 192 | 19.67 |
| Yi-Ming Sun | 2 | 1 | 0.70 |
| Chia-Lin Liu | 3 | 1 | 0.70 |
| Hsien-Da Huang | 4 | 835 | 63.83 |
| Jorng-Tzong Horng | 5 | 541 | 67.78 |
| Meng-Feng Tsai | 6 | 53 | 9.16 |
| Baw-Juine Liu | 7 | 31 | 1.68 |