hgnc.gene_family_links
import bedrock_bio as bb
rel = bb.load_table('hgnc.gene_family_links')
df = rel.limit(5).pl() # Polars
df = rel.limit(5).df() # Pandas
df.head()| sources | hgnc_id | family_id | |
|---|---|---|---|
| 0 | [{'url': 'https://storage.googleapis.com/publi... | HGNC:100 | 290 |
| 1 | [{'url': 'https://storage.googleapis.com/publi... | HGNC:10000 | 720 |
| 2 | [{'url': 'https://storage.googleapis.com/publi... | HGNC:10001 | 720 |
| 3 | [{'url': 'https://storage.googleapis.com/publi... | HGNC:10002 | 1691 |
| 4 | [{'url': 'https://storage.googleapis.com/publi... | HGNC:10002 | 2329 |
library(bedrockbio)
lf <- load_table("hgnc.gene_family_links")
df <- head(lf, 5) |> collect()
head(df)Sample output (5 rows, showing 2 of 3 columns) hgnc_id | family_id ---------- | --------- 0 HGNC:100 | 290 1 HGNC:10000 | 720 2 HGNC:10001 | 720 3 HGNC:10002 | 1691 4 HGNC:10002 | 2329
Description
Section titled “Description”HGNC’s explicit many-to-many mapping between gene symbol reports and gene families.
Partitions
Section titled “Partitions”Not partitioned.
Schema
Section titled “Schema”| Column | Type | Description |
|---|---|---|
sources |
STRUCT(url TEXT, filename TEXT, last_modified_at TIMESTAMPTZ, sha256 TEXT)[] |
Provenance for the HGNC gene-family gene_has_family.csv file. |
hgnc_id |
TEXT |
Stable HGNC identifier for the member gene symbol report. |
family_id |
TEXT |
HGNC gene-family identifier. |