Computational identification and experimental characterization of preferred downstream positions in human core promoters


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Submitted by pbucher

June 6, 2024, 3:29 p.m.

Computational identification and experimental characterization of preferred downstream positions in human core promoters

René Dreos, Anna Sloutskin, Nati Malachi, Diana Ideses, Philipp Bucher, Tamar Juven-Gershon
PLoS Comput Biol. 2021 Aug 12;17(8):e1009256. doi: 10.1371/journal.pcbi.1009256. eCollection 2021 Aug.
DOI:  None          

Brief Description
Clustering of promoter sequences with a probabilistic partitioning approach using R software. Scripts for generating the results are provided at https://github.com/talponer/humanDPE/. Also included are scripts for generating the Figures of the papers from the numerical results.
(In addition, the paper present confirmatory experimental results not subject to computational reprodicibility.)
Why should we reproduce your paper?
The methods are widely applicable to other DNA sequence clustering problems. Someone may obtain contradicting results with a new algorithm. In such a case, rerunning our scripts on the same or new data may help elucidate the source of the differences between the results.
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