Discovering Motifs in Ranked Lists of DNA Sequences
Technion – Israel Institute of Technology · IBM Research - Haifa · +1 more institution
Abstract
Computational methods for discovery of sequence elements that are enriched in a target set compared with a background set are fundamental in molecular biology research. One example is the discovery of transcription factor binding motifs that are inferred from ChIP-chip (chromatin immuno-precipitation on a microarray) measurements. Several major challenges in sequence motif discovery still require consideration: (i) the need for a principled approach to partitioning the data into target and background sets; (ii) the lack of rigorous models and of an exact p-value for measuring motif enrichment; (iii) the need for an appropriate framework for accounting for motif multiplicity; (iv) the tendency, in many of the…
Citation impact
- FWCI
- 6.59
- Percentile
- 100%
- References
- 66
Authors
4- EEEran EdenCorresponding
Technion – Israel Institute of Technology
- DLDoron Lipson
Technion – Israel Institute of Technology
- SYSivan Yogev
IBM Research - Haifa, Technion – Israel Institute of Technology
- ZYZohar YakhiniCorresponding
Agilent Technologies (United States), Technion – Israel Institute of Technology
Topics & keywords
- Sequence motif
- Computational biology
- DNA microarray
- Motif (music)
- Biology
- DNA binding site
- Transcription factor
- DNA sequencing