RED-ML RED-ML is a software tool to do genome-wide RNA editing dectection (RED) based on RNA-seq data. All source codes and executables are located in the "bin" directory. The tool can be run on a Linux platform and the main program is red_ML.pl.
Introduction
RED-ML: RNA Editing Detection basedon Machine learning (pronounced as “red ML”). The input to RED-ML can be as simple as a single BAM file, while it can also take advantage of matched genomic variant information when available. The output not only contains detected RNA editing sites, but also a confidence score to facilitate downstream filtering. The developers have carefully designed validation experiments and performed extensive comparison and analysis to show the efficiency and effectiveness of RED-ML under different conditions, and it can accurately detect novel RNA editing sites without relying on curated RNA editing databases. This tool is also freely available via GitHub <https://github.com/BGIRED/REDML.
Publications
Credits
- Leo J Lee ljlee@psi.toronto.edu Investigator
Department of Electrical and Computer Engineering, University of Toronto, Canada
- Xun Xu xuxun@genomics.cn Investigator
China National GeneBank, BGI-Shenzhen, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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1 users | |||
Sign in to rate | |||
hao***i@big.ac.cn (May 7, 2021) |
Accession | BT007072 |
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Tool Type | Application |
Category | RNA editing |
Platforms | Linux/Unix |
Technologies | Perl |
User Interface | Terminal Command Line |
Input Data | BAM, FASTA |
Latest Release | 1.0 (April 7, 2018) |
Download Count | 1235 |
Country/Region | Canada |
Submitted By | Hao Lili |
This project is supported by the Shenzhen Peacock Plan (NO. KQTD20150330171505310).