BE-AI: A Beaconized Platform with Machine Learning Capabilities

The genomic and metagenomic data sources currently available offer many possibilities to access and analyze them. Machine learning provides a suite of well-known intelligent algorithmic tools for interpreting genomic and metagenomic data. These data can come in different formats and serve different purposes. Integrating these heterogenous data sources is a necessary task in order to use different pipelines to obtain the actionable information. Once the data is processed it can be made available for querying in the beacon network for others for different purposes, among which are alleles of interest. To address machine learning necessities and the sharing of data through a beacon, BE-AI was developed.