hgnc.family_aliases
import bedrock_bio as bb
rel = bb.load_table('hgnc.family_aliases')
df = rel.limit(5).pl() # Polars
df = rel.limit(5).df() # Pandas
df.head()| sources | alias_id | family_id | alias | |
|---|---|---|---|---|
| 0 | [{'url': 'https://storage.googleapis.com/publi... | 10 | 211 | P1 receptors |
| 1 | [{'url': 'https://storage.googleapis.com/publi... | 1001 | 1134 | GNAT |
| 2 | [{'url': 'https://storage.googleapis.com/publi... | 1007 | 480 | LAMMER kinases |
| 3 | [{'url': 'https://storage.googleapis.com/publi... | 1008 | 480 | CDC-like kinases |
| 4 | [{'url': 'https://storage.googleapis.com/publi... | 1009 | 811 | ATP-binding cassette, sub-family G (WHITE) |
library(bedrockbio)
lf <- load_table("hgnc.family_aliases")
df <- head(lf, 5) |> collect()
head(df)Sample output (5 rows, showing 3 of 4 columns) alias_id | family_id | alias -------- | --------- | ------------------------ 0 10 | 211 | P1 receptors 1 1001 | 1134 | GNAT 2 1007 | 480 | LAMMER kinases 3 1008 | 480 | CDC-like kinases 4 1009 | 811 | ATP-binding cassette, s…
Description
Section titled “Description”Alternative names for HGNC 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 family_alias.csv file. |
alias_id |
TEXT |
Source identifier for the gene-family alias record. |
family_id |
TEXT |
HGNC gene-family identifier. |
alias |
TEXT |
Alternative gene-family name. |