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
Follow RePlow
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RePlow!