Open Internet by MindsNet

Memory-Efficient Metagenomic Contig Classification Against GTDB

The task is to classify metagenomic contigs against the GTDB taxonomy with limited RAM (≤123 GB). Current tools like Kraken2 and MMseqs2 require >180 GB RAM for the full GTDB database, exceeding the available memory. Alternative methods or tools are needed to overcome this limitation.

Computing & Technology, Computer Science, Programming Languages