A database to comprehensively interrogate analytic tools for single-cell epigenomic data, containing comprehensive collection and detailed annotation of 553 articles. You can access our database through http://health.tsinghua.edu.cn/scepitools.
The abundance of tools available for single-cell epigenomic data analysis poses challenges in the selection of appropriate tools for the specific analysis. scEpitools represents a valuable resource for the single-cell epigenomics community, facilitating the selection of appropriate tools for diverse analyses, and helping to drive future advancements in the field.
- inst - figures used to initialize this repository
- data - part of data for plotting the figures
- plot - source code for plotting figures in the main manuscript and supplementary information
- Python 3.8
- Packages:
- 2.1 numpy (1.22.4)
- 2.2 json5 (0.9.6)
- 2.3 matplotlib (3.5.3)
- 2.4 seaborn (0.11.0)
- 2.5 pandas (1.4.4)
The table of the information of the 553 articles can be downloaded here.
If you are interested in the scEpiTools and want to contribute any articles or tools to our database, please contact us.
If you use scEpiTools in your work, please kindly cite our work::
Gao Z, Chen X, Li Z, Cui X, Chen S, Jiang R. scEpiTools: a database to comprehensively interrogate analytic tools for single-cell epigenomic data. bioRxiv. 2023:2023.04.27.538652.