| dc.contributor.author |
Sharma, Vasudha |
|
| dc.contributor.author |
Majumdar, Sharmistha |
|
| dc.date.accessioned |
2020-03-12T08:51:48Z |
|
| dc.date.available |
2020-03-12T08:51:48Z |
|
| dc.date.issued |
2020-02 |
|
| dc.identifier.citation |
Sharma, Vasudha and Majumdar, Sharmistha, "Comparative analysis of ChIP-exo peak-callers: impact of data quality, read duplication and binding subtypes", BMC Bioinformatics, DOI: 10.1186/s12859-020-3403-3, vol. 21, no. 1, Feb. 2020. |
en_US |
| dc.identifier.issn |
1471-2105 |
|
| dc.identifier.uri |
https://dx.doi.org/10.1186/s12859-020-3403-3 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/5257 |
|
| dc.description.abstract |
ChIP (Chromatin immunoprecipitation)-exo has emerged as an important and versatile improvement over conventional ChIP-seq as it reduces the level of noise, maps the transcription factor (TF) binding location in a very precise manner, upto single base-pair resolution, and enables binding mode prediction. Availability of numerous peak-callers for analyzing ChIP-exo reads has motivated the need to assess their performance and report which tool executes reasonably well for the task. |
|
| dc.description.statementofresponsibility |
by Vasudha Sharma and Sharmistha Majumdar |
|
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
BMC |
en_US |
| dc.title |
Comparative analysis of ChIP-exo peak-callers: impact of data quality, read duplication and binding subtypes |
en_US |
| dc.type |
Article |
en_US |
| dc.relation.journal |
BMC Bioinformatics |
|