Name
Title | ||
|---|---|---|
Notos - a galaxy tool to analyze CpN observed expected ratios for inferring DNA methylation types. |
Abstract | ||
|---|---|---|
We show that KDE delivers robust descriptions of CpN o/e distributions. For straightforward processing, we have developed a Galaxy tool, called Notos and available at the ToolShed, that calculates these ratios of input FASTA files and fits a density to their empirical distribution. Based on the estimated density the number and shape of modes of the distribution is determined, providing a rational for the prediction of the number and the types of different methylation classes. Notos is written in R and Perl. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2115-4 | BMC Bioinformatics |
Keywords | Field | DocType |
CpG o/e ratio,CpN o/e ratio,DNA methylation,Epigenetics,Kernel density estimation | Frequency distribution,Empirical distribution function,Biology,CpG site,DNA methylation,Methylation,Gaussian,Bioinformatics,Genetics,Kernel density estimation,Epigenetics | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ingo Bulla | 1 | 52 | 5.15 |
| Benoît Aliaga | 2 | 0 | 0.34 |
| Virginia Lacal | 3 | 3 | 0.90 |
| Jan Bulla | 4 | 39 | 3.15 |
| Christoph Grunau | 5 | 0 | 0.34 |
| Cristian Chaparro | 6 | 5 | 1.95 |