binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets

Repository for the publication 'binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets'. Contains relevant data used in benchmarking binny on synthetic (CAMI challenges 1 and 2)1,2 and real-world (105 of the metagenomes from the MetaBAT2 publication)3 data sets against other binning methods. For the synthetic benchmarks AMBER4 outputs are provided. For each sample used in the benchmarks, the average contig depth files provided to binning methods (except VAMB5) are provided. The repository with scripts used in the publication can be found here: https://github.com/ohickl/binny_manuscript. The latest binny release can be found at https://github.com/a-h-b/binny