Comparative analysis of ChIP-exo peak-callers: impact of data quality, read duplication and binding subtypes

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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


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