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Mendeley readers
| Title |
MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicates
|
|---|---|
| Published in |
BMC Bioinformatics, September 2013
|
| DOI | 10.1186/1471-2105-14-271 |
| Pubmed ID | |
| Authors |
Caroline Bérard, Michael Seifert, Tristan Mary-Huard, Marie-Laure Martin-Magniette |
| Abstract |
Chromatin immunoprecipitation coupled with hybridization to a tiling array (ChIP-chip) is a cost-effective and routinely used method to identify protein-DNA interactions or chromatin/histone modifications. The robust identification of ChIP-enriched regions is frequently complicated by noisy measurements. This identification can be improved by accounting for dependencies between adjacent probes on chromosomes and by modeling of biological replicates. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 50% |
| Student > Ph. D. Student | 4 | 29% |
| Professor | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 57% |
| Mathematics | 2 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Computer Science | 1 | 7% |
| Unknown | 1 | 7% |