Conference proceeding
Enhancing Motif Refinement by Incorporating Comparative Genomics Data
Bioinformatics Research and Applications, pp.329-337
Lecture Notes in Computer Science
2007
DOI: 10.1007/978-3-540-72031-7_30
Abstract
Transcription factor binding sites (TFBS) are often located in the upstream regions of genes and transcription factors (TFs) cause transcription regulation by binding at these locations. Predicting these binding sites is a difficult problem, and traditional methods have a high degree of false positives in their predictions. Comparative genomics data can help to improve motif predictions. In this paper, a new strategy is presented, which refines motif by taking the comparative genomics data into account. Tested with the help of both simulation data and biological data, we show that our method makes improved predictions. We also propose a new metric to score a motif profile. This score is biologically motivated and helps the algorithm in its predictions.
Details
- Title: Subtitle
- Enhancing Motif Refinement by Incorporating Comparative Genomics Data
- Creators
- Erliang Zeng - Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, Florida, 33199, USAGiri Narasimhan - Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, Florida, 33199, USA
- Resource Type
- Conference proceeding
- Publication Details
- Bioinformatics Research and Applications, pp.329-337
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-72031-7_30
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2007
- Academic Unit
- Preventive and Community Dentistry; Biostatistics; Roy J. Carver Department of Biomedical Engineering; Dental Research; Iowa Neuroscience Institute
- Record Identifier
- 9984065373602771
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