Arboviromics (formerly βHΞDI) is a computational tool for identifying Arboviruses—Dengue (DENV), Chikungunya (CHIK), and Zika (ZIKA)—in next-generation sequencing (NGS) data, especially from wastewater samples. It uses unique genomic fragments called “sankets” as biomarkers to detect and quantify viral presence accurately in complex metagenomic datasets.

Features:

Sensitive detection of DENV, CHIK, and ZIKA viruses in NGS data
Fast, efficient processing via sanket biomarkers
RESTful API enabling programmatic access
Command-line interface for direct data processing
Docker support for easy deployment and integration

More info and source code available on GitHub.