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Update README.md

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@@ -8,15 +8,6 @@ tags:
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  pretty_name: "gReLU tutorial 3 dataset (Microglia scATAC-seq)"
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  size_categories:
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  - 10K<n<100K
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- configs:
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- - config_name: peaks
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- data_files:
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- - split: train
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- path: "peak_file.narrowPeak"
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- - config_name: fragments
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- data_files:
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- - split: train
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- path: "fragment_file.bed"
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  ---
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  # microglia-scatac-tutorial-data
@@ -52,10 +43,24 @@ Standard BED6 format representing individual ATAC-seq fragments.
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  ## Usage
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- ### Loading Peaks
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  ```python
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- from datasets import load_dataset
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- dataset = load_dataset("Genentech/tutorial-3-data", "peaks", split="train", delimiter="\t")
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- dataset = load_dataset("Genentech/tutorial-3-data", "fragments", split="train", delimiter="\t")
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  ```
 
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  pretty_name: "gReLU tutorial 3 dataset (Microglia scATAC-seq)"
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  size_categories:
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  - 10K<n<100K
 
 
 
 
 
 
 
 
 
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  ---
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  # microglia-scatac-tutorial-data
 
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  ## Usage
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  ```python
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+ from huggingface_hub import hf_hub_download
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+ import grelu.io.bed
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+ import pandas as pd
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+
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+ peak_path = hf_hub_download(
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+ repo_id="Genentech/microglia-scatac-tutorial-data",
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+ repo_type="dataset",
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+ filename="peak_file.narrowPeak"
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+ )
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+ peaks = grelu.io.bed.read_narrowpeak(peak_file)
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+
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+ frag_path = hf_hub_download(
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+ repo_id="Genentech/microglia-scatac-tutorial-data",
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+ repo_type="dataset",
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+ filename="fragment_file.bed"
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+ )
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+ fragments = pd.read_csv(frag_path, sep='\t', header=None,
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+ names=['chrom', 'start', 'end', 'source', 'score', 'strand'])
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  ```