Name
Abstract | ||
|---|---|---|
Alternative splicing (AS) is an important post-transcriptional mechanism that can increase protein diversity and affect mRNA stability and translation efficiency. Many studies targeting the regulation of alternative splicing have focused on individual motifs; however, little is known about how such motifs work in concert. In this paper, we use distribution-based quantitative association rule mining to find combinatorial cis -regulatory motifs and to investigate the effect of motif pairs. We also show that motifs that occur in motif pairs typically occur in clusters. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01551-9_26 | ISBRA |
Keywords | Field | DocType |
protein diversity,mrna stability,combinatorial cis,tissue-specific alternative splicing,quantitative association rule mining,cis-regulatory motifs associated,regulatory motif,motif pair,individual motif,translation efficiency,important post-transcriptional mechanism,alternative splicing,association rule mining | Text mining,Computer science,Alternative splicing,Motif (music),Association rule learning,Bioinformatics | Conference |
Volume | ISSN | Citations |
5542 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 37 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jihye Kim | 1 | 2 | 0.73 |
| Sihui Zhao | 2 | 4 | 1.81 |
| Brian E. Howard | 3 | 26 | 4.24 |
| Steffen Heber | 4 | 219 | 22.88 |