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license: cc-by-4.0
pretty_name: MGnify Protein Catalogues
size_categories:
- unknown
task_categories:
- other
language:
- en
tags:
- biology
- proteins
- sequences
- fasta
- mgnify
- metagenomics
---
# MGnify Protein Catalogues
Normalized FASTA shards of MGnify protein cluster catalogues (mgy_clusters and mgy_proteins partitions).
Processed and uploaded by the [MegaData](https://github.com/) post-download pipeline
(internal repo). Original source: <https://www.ebi.ac.uk/metagenomics/>.
> Note: `shard-000000.fasta.zst` per source is a 100-record sample left over from validation passes and is **not part of this dataset**. Only `shard-000001.fasta.zst` and higher contain full-clean data.
## Statistics
| | |
|---|---|
| Source files | 26 |
| Shards | 3,148 |
| Compressed shard bytes | 319.27 GiB (342,815,994,580) |
| Normalized table files | 28 |
| Compressed table bytes | 2.17 TiB (2,380,980,172,257) |
## Layout
```
.
├── tables/<source_slug>.jsonl # normalized table rows (one JSON object per line)
└── sequences/<source_slug>/shard-NNNNNN.fasta.zst
```
> `metadata/`, `manifests/`, and `_MANIFEST.json` are intentionally not shipped here — the on-disk versions were sample-only. Recompute per-shard record/residue counts downstream by streaming the FASTA records out of the shipped shards.
`<source_slug>` corresponds 1:1 with an upstream source archive; e.g.
`sequence_uniprotkb_uniprot_sprot.fasta.gz`.
## Loading
Stream every shard of one source (replace `<source_slug>` with the directory of
interest under `sequences/`):
```bash
hf download LiteFold/Mgnify --repo-type dataset \
--include 'sequences/<source_slug>/shard-*.fasta.zst' \
--local-dir ./mgnify_proteins
zstd -dc ./mgnify_proteins/sequences/<source_slug>/shard-*.fasta.zst | head
```
Programmatic streaming with [`zstandard`](https://pypi.org/project/zstandard/):
```python
from huggingface_hub import snapshot_download
from pathlib import Path
import zstandard as zstd
local = snapshot_download(
repo_id="LiteFold/Mgnify",
repo_type="dataset",
allow_patterns=["sequences/*/shard-*.fasta.zst"],
)
dctx = zstd.ZstdDecompressor()
for shard in sorted(Path(local).rglob("shard-*.fasta.zst")):
with shard.open("rb") as f, dctx.stream_reader(f) as reader:
buf = b""
while chunk := reader.read(1 << 20):
buf += chunk
*lines, buf = buf.split(b"\n")
for line in lines:
... # naive splitter; swap in your FASTA parser
```
## License
CC BY 4.0 (EMBL-EBI MGnify).
## Citation
> Mitchell AL, et al. MGnify: the microbiome analysis resource in 2020. Nucleic Acids Research, 48(D1):D570-D578, 2020.
## Caveats
- `shard-000000.fasta.zst` per source is a 100-record sample left over from validation passes and is **excluded** from this upload. Only `shard-000001.fasta.zst` and onward are shipped.
- Per-source `manifests/*.json` and `metadata/*.records.jsonl` are **not shipped** because their on-disk contents are sample-only (100 records per source). They can be regenerated downstream by streaming the shipped shards (each shard is a concatenation of FASTA records; counting `^>` headers gives per-shard record counts).
## Provenance
Built from the local manifest entry `mgnify_proteins` of `manifests/atlas_download_plan.json`.
Pipeline source: `megadata-post normalize --dataset mgnify_proteins`.
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