[longtalk]: rGenomeTracks: Extending epigenetic visualization methods in R

[OmarAshkar]

Abstract

High throughput sequencing technologies have been proved useful in a plethora of omics. Epigenomics is an area of active research that innovatively blends different biological techniques with sequencing to gain new insight into epigenetic regulations like chromatin accessibility, genome topology and nucleosome positioning. One of the cornerstones of analyzing such data is to be able to visualize it. R has been limited by the difficulty of visualizing epigenetic data in a quick way ought to data size. Hence we created rGenomeTracks, an R package based on pyGenomeTracks python package that offers customizable, publication-ready figures in a quick way. rGenomeTracks make it easier for R users to have a smooth workflow without the need of interacting with python.

Convenient day for your Long talk.

11/1 or 11/2

Contact Details

omar.i.elashkar@gnu.ac.kr

Comment field

No response

Checklist

• [X] This Long talk has a Bioconductor focus or interest to Bioconductor users/developers.
• [X] I checked and confirmed the BioC Asia 2021 Code of Conduct.

[kozo2]

@OAshkar Thank you for submitting the abstract. The Assignees will start the review. Once accepted by the Assignees, this issue will be closed and your abstract will be posted on https://biocasia2021.bioconductor.org/ .

[kozo2]

I checked @OAshkar 's abstract and the package and repository in this abstract. I accept this abstract. After adding your abstract to https://biocasia2021.bioconductor.org/ , I will send a comment addressed to you again. Thank you for your contribution.