Datasets:
license: apache-2.0
tags:
- bacteria
- biology
- proteins
- prokaryotes
- genomics
- genomes
pretty_name: Dataset for clustering whole bacterial genomes (protein sequences)
size_categories:
- 10K<n<100K
Dataset for whole-bacterial genomes clustering (Protein sequences)
A dataset of 60,710 bacterial genomes across 25 species, 10 genera and 7 families.
The genome protein sequences have been extracted from MGnify. Each row contains a set of contigs with protein sequences present in the genome. Each contig is a list of proteins ordered by their location on the chromosome or plasmid.
Labels
The species, genus and family labels have been provided by MGnify
Usage
We recommend loading the dataset in a streaming mode to prevent memory errors.
import itertools
from datasets import load_dataset
ds = load_dataset("macwiatrak/bacbench-strain-clustering-protein-sequences", split="test", streaming=True)
# fetch the protein sequence of the genome
item = next(iter(ds))
# all proteins present in the genome across contigs
prot_seqs_contigs = item["protein_sequence"]
# get protein sequences for a single contig
prot_seqs = prot_seqs_contigs[0]
# flatten all proteins present in the genome across all contigs
prot_seqs_flat = list(itertools.chain(*prot_seqs_contigs))
Split
The strain clustering task is a fully unsupervised task, therefore, we do not perform any split and the whole dataset is available as part of the test
split.
See github repository for details on how to embed the dataset with DNA and protein language models as well as code to predict antibiotic resistance from sequence. For DNA sequence representation of the genome see the strain-clustering-dna dataset.