Published June 7, 2026
| Version v1
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Singularity images for transcription factor binding prediction benchmark
Description
Singularity images used for data preprocessing and the single TF-binding predictions methods compared in the benchmark.
The benchmark is preregistered under: https://osf.io/kv2tw/overview
The code and snakemake workflow using these images for the benchmark is available via: https://github.com/ETHZ-INS/TFB_Prediction_Benchmark
Deposited singluarity images:
- tfbench-bmo.sif: image used for BMO
- tfbench-maxatac.sif: image used for maxATAC
- tfbench-maxatac_gpu.sif: image used for training maxATAC with gpu support
- tfbench-tfblearner.sif: image used for TFBlearner
- tfbench-top.sif: image used for TOP
- tfbench-preproc.sif: image used for preprocessing of the benchmark datasets
Files
Files
(12.9 GB)
| Name | Size | |
|---|---|---|
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md5:cdbe5b51e2cdadbd5feacac7409340b4
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797.7 MB | Download |
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md5:7c5d065ebd7233d882283b7574af83b4
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1.1 GB | Download |
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md5:00755e6ac749e423f1be45b13005414c
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2.8 GB | Download |
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md5:ba2f1b99eb8ab4c1749eb88a20cb86ba
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1.3 GB | Download |
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md5:66151bff28d5abc2e978ad8d8abd1222
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6.1 GB | Download |
|
md5:de347d6b34ff6d42074485d33c3fb1d5
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807.2 MB | Download |
Additional details
Software
- Repository URL
- https://github.com/ETHZ-INS/TFB_Prediction_Benchmark
- Programming language
- Python , R