Name
Title | ||
|---|---|---|
methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data |
Abstract | ||
|---|---|---|
Numerous methods are available to profile several epigenetic marks, providing data with different genome coverage and resolution. Large epigenomic datasets are then generated, and often combined with other high-throughput data, including RNA-seq, ChIP-seq for transcription factors (TFs) binding and DNase-seq experiments. Despite the numerous computational tools covering specific steps in the analysis of large-scale epigenomics data, comprehensive software solutions for their integrative analysis are still missing. Multiple tools must be identified and combined to jointly analyze histone marks, TFs binding and other -omics data together with DNA methylation data, complicating the analysis of these data and their integration with publicly available datasets. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12859-015-0742-6 | BMC Bioinformatics |
Keywords | Field | DocType |
Epigenomics, DNA methylation, Histone marks, Integrative biology, High-throughput sequencing | Genome,Biology,Epigenomics,DNA methylation,Software,DNA sequencing,Bioinformatics,Genetics,Histone code,DNA microarray,Epigenetics | Journal |
Volume | Issue | ISSN |
16 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamal Kishore | 1 | 1 | 1.06 |
| Stefano de Pretis | 2 | 4 | 1.53 |
| Ryan Lister | 3 | 2 | 1.44 |
| Marco J. Morelli | 4 | 1 | 0.72 |
| Valerio Bianchi | 5 | 6 | 1.51 |
| Bruno Amati | 6 | 5 | 1.24 |
| Joseph R Ecker | 7 | 5 | 1.20 |
| Mattia Pelizzola | 8 | 41 | 3.25 |