RePlow is a Java based variant caller designed for detecting somatic single nucleotide variants (SNVs) from the replicated set of high-depth sequencing data. RePlow is highly specialized for the identification of somatic mutations with low variant allele frequency (VAF ~1%). RePlow accurately detects such low-level mutations based on the probabilistic model that jointly analyzes library-level replicates, regardless of the sequencing platform. The important features of RePlow are:

• On-the-fly estimation of the VAF distribution of background errors
• Improved low-level SNV calling based on the estimated error profiles and the observation concordance between replicates

Project Samples

Project Activity

See All Activity >

Follow RePlow

RePlow Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RePlow!

Additional Project Details

Registered

2017-03-12