SCIENCE BFSP CoS | WP3 | M3.4 Data from MGnify with computational resources used for metagenomics assembly

This work package aims to streamline the allocation of computational resources for metagenomic assemblies by analyzing input data characteristics and developing a machine learning model to predict resource requirements. To support this effort, EMBL-EBI has generously provided data on the computational demands—specifically peak memory usage—of assemblies generated using the MGnify pipeline.