license: mit
language:
- en
tags:
- biology
- genomics
- yeast
- transcription-factors
- gene-expression
- perturbation-screen
- overexpression
- knockout
- microarray
- functional-genomics
pretty_name: Hughes 2006 Yeast Transcription Factor Perturbation Dataset
size_categories:
- 100K<n<1M
task_categories:
- other
source_datasets:
- original
configs:
- config_name: metadata
description: Transcription factor metadata including essentiality and QC status
default: true
data_files:
- split: train
path: metadata.parquet
dataset_info:
features:
- name: regulator_locus_tag
dtype: string
description: Systematic gene name (ORF identifier) of the transcription factor
- name: regulator_symbol
dtype: string
description: Standard gene symbol of the transcription factor
- name: found_domain
dtype: string
description: Identified DNA-binding domain(s) or protein family classification
- name: sgd_description
dtype: string
description: Functional description from Saccharomyces Genome Database (SGD)
- name: essential
dtype: bool
description: Boolean indicating whether the gene is essential for viability
- name: oe_passed_qc
dtype: bool
description: >-
Boolean indicating whether overexpression experiments passed quality
control
- name: del_passed_qc
dtype: bool
description: >-
Boolean indicating whether deletion experiments passed quality
control
- config_name: overexpression
description: Overexpression perturbation normalized log2 fold changes
data_files:
- split: train
path: overexpression.parquet
dataset_info:
features:
- name: regulator_locus_tag
dtype: string
description: >-
Systematic gene name (ORF identifier) of the perturbed transcription
factor
- name: regulator_symbol
dtype: string
description: Standard gene symbol of the perturbed transcription factor
- name: target_locus_tag
dtype: string
description: Systematic gene name (ORF identifier) of the target gene measured
- name: target_symbol
dtype: string
description: Standard gene symbol of the target gene measured
- name: dye_plus
dtype: float64
description: Normalized log2 fold change for positive (+) dye orientation
- name: dye_minus
dtype: float64
description: Normalized log2 fold change for negative (-) dye orientation
- name: mean_norm_log2fc
dtype: float64
description: Average log2 fold change across dye orientations
- config_name: knockout
description: Deletion/knockout perturbation normalized log2 fold changes
data_files:
- split: train
path: knockout.parquet
dataset_info:
features:
- name: regulator_locus_tag
dtype: string
description: >-
Systematic gene name (ORF identifier) of the perturbed transcription
factor
- name: regulator_symbol
dtype: string
description: Standard gene symbol of the perturbed transcription factor
- name: target_locus_tag
dtype: string
description: Systematic gene name (ORF identifier) of the target gene measured
- name: target_symbol
dtype: string
description: Standard gene symbol of the target gene measured
- name: dye_plus
dtype: float64
description: Normalized log2 fold change for positive (+) dye orientation
- name: dye_minus
dtype: float64
description: Normalized log2 fold change for negative (-) dye orientation
- name: mean_norm_log2fc
dtype: float64
description: Average log2 fold change across dye orientations
Hughes 2006
This data is parsed from data presented in
The data is made available by the author and on NCBI with accession GSE5499. I used the data provided by the author.
Details on my parsing can be found in scripts/
. The gene features are from
BrentLab/yeast_genome_resources
Data
overexpression.parquet
and knockout.parquet
have the same structure
Field | Description |
---|---|
regulator_locus_tag |
Systematic gene name (ORF identifier) of the perturbed transcription factor |
regulator_symbol |
Standard gene symbol of the perturbed transcription factor |
target_locus_tag |
Systematic gene name (ORF identifier) of the target gene measured |
target_symbol |
Standard gene symbol of the target gene measured |
dye_plus |
Normalized log2 fold change for positive (+) dye orientation |
dye_minus |
Normalized log2 fold change for negative (-) dye orientation |
mean_norm_log2fc |
Average log2 fold change across dye orientations; 0 when orientations have opposite signs, single value when only one orientation available |
metadata.parquet
contains transcription factor information
Field | Description |
---|---|
regulator_locus_tag |
Systematic gene name (ORF identifier) of the transcription factor |
regulator_symbol |
Standard gene symbol of the transcription factor |
found_domain |
Identified DNA-binding domain(s) or protein family classification |
sgd_description |
Functional description from Saccharomyces Genome Database (SGD) |
essential |
Boolean indicating whether the gene is essential for viability |
oe_passed_qc |
Boolean indicating whether overexpression experiments passed quality control |
del_passed_qc |
Boolean indicating whether deletion experiments passed quality control |
Usage
There are three parquet files in this repo. This is a way of getting that information programmatically
from huggingface_hub import ModelCard
from pprint import pprint
card = ModelCard.load("BrentLab/hughes_2006", repo_type="dataset")
# cast to dict
card_dict = card.data.to_dict()
# Get partition information
dataset_paths_dict = {d.get("config_name"): d.get("data_files")[0].get("path") for d in card_dict.get("configs")}
pprint(dataset_paths_dict)
With the result
{'knockout': 'knockout.parquet',
'metadata': 'metadata.parquet',
'overexpression': 'overexpression.parquet'}
I recommend using huggingface_hub.snapshot_download
to pull the repository. After that, use your favorite
method of interacting with parquet
files (eg duckDB, but you could use dplyr in R or pandas, too).
from huggingface_hub import snapshot_download
import duckdb
import os
repo_id = "BrentLab/hughes_2006"
# Download entire repo to local directory
repo_path = snapshot_download(
repo_id=repo_id,
repo_type="dataset"
)
print(f"Repository downloaded to: {repo_path}")
# Construct path to the knockout parquet file
parquet_path = os.path.join(repo_path, "knockout.parquet")
print(f"Parquet file at: {parquet_path}")
# Connect to DuckDB and query the parquet file
conn = duckdb.connect()
query = """
SELECT *
FROM read_parquet(?)
WHERE regulator_symbol = 'CST6'
"""
result = conn.execute(query, [parquet_path]).fetchall()
print(f"Found {len(result)} rows for CST6")
Dataset Author and Contact: Chase Mateusiak @cmatKhan