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EpiMINE, a computational program for mining epigenomic data
SriGanesh Jammula1, Diego Pasini1
1Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, 20139 Milan, Italy.
Epigenetics & Chromatin
|October 7, 2016
Summary
EpiMINE is a new computational tool for analyzing epigenomic data. It enables genome-wide correlative and quantitative analyses of ChIP-seq and RNA-seq data, aiding in the discovery of novel biological features.
Area of Science:
- Epigenetics
- Genomics
- Bioinformatics
Background:
- High-throughput sequencing generates vast amounts of epigenetic data.
- Genome-wide studies require advanced downstream analyses for biological insight.
- Current platforms lack integrated tools for interdisciplinary epigenomic data analysis.
Purpose of the Study:
- To present EpiMINE, a user-friendly computational program for epigenomic data mining.
- To enable genome-wide correlative and quantitative analysis of ChIP-seq and RNA-seq data.
- To facilitate the exploration of large-scale epigenomic datasets.
Main Methods:
- Development of a stand-alone computational program, EpiMINE.
- Integration of genome-wide correlative and quantitative analysis capabilities.
- Utilized ENCODE project data for demonstrating program features.
Main Results:
- EpiMINE supports multiple datasets for comprehensive epigenomic analysis.
- Demonstrated ease of verifying known biological observations using EpiMINE.
- Highlighted the potential for identifying novel biological features through data mining.
Conclusions:
- EpiMINE performs genome-wide quantitative and correlative analyses on ChIP-seq and RNA-seq data.
- The program is accessible to both experimental and computational researchers.
- EpiMINE is available for download, promoting broader research application.
