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README.md
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---
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tags:
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- biology
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configs:
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- config_name: demo_coding_vs_intergenomic_seqs
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: demo_human_or_worm
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: drosphilia_enhancers_stark
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: dummy_mouse_enhancers_ensembl
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: human_enhancers_cohn
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: human_enhancers_ensembl
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: human_ensembl_regulatory
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: human_nontata_promoters
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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- config_name: human_ocr_ensembl
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data_files:
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- split: train
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-
path:
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- split: test
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-
path:
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---
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# Datasets
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Each folder contains either one benchmark or a set of benchmarks. See [docs/](../docs/) for code used to create these benchmarks.
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---
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tags:
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- biology
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- genomics
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- medical
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configs:
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- config_name: demo_coding_vs_intergenomic_seqs
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data_files:
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- split: train
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path: demo_coding_vs_intergenomic_seqs/train/*.csv.gz
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- split: test
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path: demo_coding_vs_intergenomic_seqs/test/*.csv.gz
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- config_name: demo_human_or_worm
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data_files:
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- split: train
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path: demo_human_or_worm/train/*.csv.gz
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- split: test
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path: demo_human_or_worm/test/*.csv.gz
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- config_name: drosphilia_enhancers_stark
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data_files:
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- split: train
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path: drosphilia_enhancers_stark/train/*.csv.gz
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- split: test
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path: drosphilia_enhancers_stark/test/*.csv.gz
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- config_name: dummy_mouse_enhancers_ensembl
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data_files:
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- split: train
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path: dummy_mouse_enhancers_ensembl/train/*.csv.gz
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- split: test
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path: dummy_mouse_enhancers_ensembl/test/*.csv.gz
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- config_name: human_enhancers_cohn
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data_files:
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- split: train
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path: human_enhancers_cohn/train/*.csv.gz
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- split: test
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path: human_enhancers_cohn/test/*.csv.gz
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- config_name: human_enhancers_ensembl
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data_files:
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- split: train
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path: human_enhancers_ensembl/train/*.csv.gz
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- split: test
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path: human_enhancers_ensembl/test/*.csv.gz
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- config_name: human_ensembl_regulatory
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data_files:
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- split: train
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path: human_ensembl_regulatory/train/*.csv.gz
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- split: test
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path: human_ensembl_regulatory/test/*.csv.gz
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- config_name: human_nontata_promoters
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data_files:
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- split: train
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path: human_nontata_promoters/train/*.csv.gz
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- split: test
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path: human_nontata_promoters/test/*.csv.gz
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- config_name: human_ocr_ensembl
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data_files:
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- split: train
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path: human_ocr_ensembl/train/*.csv.gz
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- split: test
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path: human_ocr_ensembl/test/*.csv.gz
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license: apache-2.0
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---
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# Genomic Benchmark
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In this repository, we collect benchmarks for classification of genomic sequences. It is shipped as a Python package, together with functions helping to download & manipulate datasets and train NN models.
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## Citing Genomic Benchmarks
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If you use Genomic Benchmarks in your research, please cite it as follows.
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### Text
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GRESOVA, Katarina, et al. Genomic Benchmarks: A Collection of Datasets for Genomic Sequence Classification. bioRxiv, 2022.
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### BibTeX
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```bib
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@article{gresova2022genomic,
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title={Genomic Benchmarks: A Collection of Datasets for Genomic Sequence Classification},
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author={Gresova, Katarina and Martinek, Vlastimil and Cechak, David and Simecek, Petr and Alexiou, Panagiotis},
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journal={bioRxiv},
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year={2022},
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publisher={Cold Spring Harbor Laboratory},
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url={https://www.biorxiv.org/content/10.1101/2022.06.08.495248}
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}
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```
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From the [github repo](https://github.com/ML-Bioinfo-CEITEC/genomic_benchmarks/tree/main):
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# Datasets
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Each folder contains either one benchmark or a set of benchmarks. See [docs/](../docs/) for code used to create these benchmarks.
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