Download
HIVCD is an informatics tool developed to identify patient sequences that are too similar to happen by chance alone. Highly similar sequences are likely to occur from contamination or other situations like geographic linkage. Full details can be found in our paper titled "Application of a new informatics tool for contamination screening in the HIV sequencing laboratory"
The code provided is a simple user interface to the underlying algorithm. We provide it as a convenience but it comes with absolutely no warranty as stated in the Apache License, Version 2.0.
Project Samples
License
Apache License V2.0Follow HIVCD
nel_h2
Gen AI apps are built with MongoDB Atlas
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.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of HIVCD!