Name
Abstract | ||
|---|---|---|
Epigenetic mechanisms play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have supported a role of DNA sequences in recruitment of epigenetic regulators. Alignment-free methods have been applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles. Here, we review recent advances in such applications, including the methods to map DNA sequence to feature space, sequence comparison and prediction models. Computational studies using these methods have provided important insights into the epigenetic regulatory mechanisms. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bib/bbt078 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
epigenetics,nucleosome,DNA sequence,alignment-free method,machine learning | Sequence alignment,Gene,Biology,Epigenomics,DNA sequencing,Bioinformatics,Nucleosome,Epigenetics | Journal |
Volume | Issue | ISSN |
15 | SP3 | 1467-5463 |
Citations | PageRank | References |
9 | 0.54 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Pinello | 1 | 49 | 7.71 |
| Giosuè Lo Bosco | 2 | 153 | 18.36 |
| Guo-Cheng Yuan | 3 | 88 | 11.73 |