Bioinformatics CNV Detection with Random Forest Model
-
Updated
Dec 29, 2019 - Python
Bioinformatics CNV Detection with Random Forest Model
A package for automated quantification of non-orthogonal, multiplexed ddPCR data
Fortify your ddPCR analyses for low-frequency variant detection
vflank is the variant-aware, optionally patient-specific, masked-flank front-end of a ddPCR assay-design pipeline. It extracts the sequence flanking each variant and masks positions that would compromise a primer/probe, then emits clean targets in designer-native formats.
An interactive, web based GUI for the ddPCRclust algorithm. It was developed using the web application framework Shiny.
A single-page web front-end for vflank — paste, upload, or type a handful of variants and get back masked ddPCR target sequences (and optional Primer3 input), with no install and no patient data leaving the browser.
Add a description, image, and links to the ddpcr topic page so that developers can more easily learn about it.
To associate your repository with the ddpcr topic, visit your repo's landing page and select "manage topics."