Name
Abstract | ||
|---|---|---|
We address the problem of detecting consensus motifs, that occur with subtle variations, across multiple sequences. These are usually functional domains in DNA sequences such as transcriptional binding factors or other regulatory sites. The problem in its generality has been considered difficult and various benchmark data serve as the litmus test for different computational methods. We present a method centered around unsupervised combinatorial pattern discovery. The parameters are chosen using a careful statistical analysis of consensus motifs. This method works well on the benchmark data and is general enough to be extended to a scenario where the variation in the consensus motif includes indels (along with mutations). We also present some results on detection of transcription binding factors in human DNA sequences. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1142/9781860947995_0006 | Series on Advances in Bioinformatics and Computational Biology |
Keywords | Field | DocType |
binding sites.,pattern discovery,transcription factors,subtle motifs,consensus motifs,dna sequence,statistical analysis,transcription factor binding site | Transcription (biology),Biology,Sequence motif,DNA,Motif (music),DNA sequencing,Bioinformatics,Generality,Statistical analysis,Indel | Conference |
Volume | ISSN | Citations |
5 | 1751-6404 | 3 |
PageRank | References | Authors |
0.41 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Comin | 1 | 191 | 20.94 |
| Laxmi Parida | 2 | 773 | 77.21 |