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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
comparison: string
U: double
p_value: double
n_high_medium: int64
n_low: int64
vs
compartment: string
n: int64
observed_mean_distance: double
null_mean: double
p_value: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              comparison: string
              U: double
              p_value: double
              n_high_medium: int64
              n_low: int64
              vs
              compartment: string
              n: int64
              observed_mean_distance: double
              null_mean: double
              p_value: double

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ABCatlas — Data Repository

Comparative functional knowledgebase of ABC transporters in Homo sapiens (48 proteins) and Saccharomyces cerevisiae (31 proteins). Integrates six feature dimensions — subfamily classification, substrate specificity, subcellular localisation, structural similarity (TM-align), orthology confidence, and disease burden — into a single annotation framework.


Repository Structure

abcatlas_data/
├── raw/          Source data retrieved from public databases
└── processed/    Analysis outputs used in all figures and statistics

raw/

File Source Description
uniprot_human_abc.tsv UniProt Human ABC transporter annotations (48 proteins)
uniprot_yeast_abc.tsv UniProt Yeast ABC transporter annotations (31 proteins)
uniprot_human_domains.tsv UniProt Domain architecture — human
uniprot_yeast_domains.tsv UniProt Domain architecture — yeast
uniprot_human_go.tsv UniProt/GO GO term assignments — human
uniprot_yeast_go.tsv UniProt/GO GO term assignments — yeast
gtex_human_tissue_expression.tsv GTEx v8 Median TPM across 54 human tissues
hpa_localization.json Human Protein Atlas Subcellular localisation — human
clinvar_counts.tsv ClinVar Pathogenic/likely-pathogenic variant counts per gene
panther_human_yeast_orthologs.tsv PANTHER 18.0 Human–yeast orthology assignments with confidence scores
sgd_phenotypes.json SGD Yeast phenotype and stress-response data
alphafold_metadata.json AlphaFold DB v4 Structure model metadata (pLDDT, coverage)

processed/

File Description
master_annotation_table.tsv Core table: 79 proteins x 48 columns, all feature dimensions merged
master_gene_list.tsv Protein identifiers, gene names, organisms, and subfamily assignments
feature_matrix.tsv Normalised feature vectors used as UMAP input
landscape_coordinates.tsv UMAP embeddings and HDBSCAN cluster assignments (5 clusters)
structural_similarity_tmscore_matrix.tsv All-versus-all TM-scores (3,081 pairs; 79 x 79)
structural_comparison_ortholog_pairs.tsv TM-scores and structural metadata for confirmed ortholog pairs
orthology_map.tsv Human–yeast ortholog pairs with PANTHER confidence tiers
orthology_comparative_analysis.tsv Substrate Jaccard indices by orthology confidence group
substrate_annotation.tsv Manually curated substrate class assignments
localization_matrix.tsv Binary subcellular compartment matrix (HPA + SGD)
expression_summary.tsv Tissue expression profiles — human (GTEx)
disease_phenotype_summary.tsv OMIM disease associations and ClinVar variant counts
variation_summary.tsv Variant burden summary per protein
annotation_completeness_matrix.tsv Per-feature annotation completeness scores; flags one-sided gaps
yeast_stress_response_summary.tsv Stress response rates across 13 conditions (SGD)
structure_quality.tsv AlphaFold pLDDT scores and coverage per protein
validation_mannwhitney_summary.tsv Mann–Whitney U test results for orthology–substrate analysis
validation_permutation_summary.tsv Permutation test summary statistics
validation_substrate_jaccard_groups.tsv Per-pair Jaccard scores used in validation

Methods Summary

Dimensionality reduction: UMAP (n_neighbors=15, min_dist=0.1) on a six-dimension normalised feature matrix. Clustering: HDBSCAN (min_cluster_size=6). Structural comparisons: TM-align run on all 3,081 pairwise combinations of AlphaFold models. Orthology confidence tiers (High / Medium / Low) derived from PANTHER 18.0 scores. All analysis performed in Python 3.11 and R 4.5.


Citation

Harrzi Saad A. ABCatlas: a comparative functional knowledgebase of ABC transporters in Homo sapiens and Saccharomyces cerevisiae. 2026. Preprint / in review.


Licence

Creative Commons Attribution 4.0 International (CC BY 4.0). See LICENSE for full terms.

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