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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: "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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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Citing Genomic Benchmarks
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+
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+ If you use Genomic Benchmarks in your research, please cite it as follows.
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+
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+ ### Text
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+
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+ GRESOVA, Katarina, et al. Genomic Benchmarks: A Collection of Datasets for Genomic Sequence Classification. bioRxiv, 2022.
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+
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+ ### BibTeX
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+
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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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+
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+ From the [github repo](https://github.com/ML-Bioinfo-CEITEC/genomic_benchmarks/tree/main):
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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.