Orca: Sequence-based modeling of genome 3D architecture from kilobase to chromosome-scale (Part1)
This dataset (Part 1) provide the core resource files required for using the code of Orca, including models and the hg38 reference genome (resources_core.tar.gz), and the micro-C mcool files required for extracting the experimental observations (resources_mcools.tar.gz). Orca is a sequence-based dee...
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2021
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| Online Access: | https://dx.doi.org/10.5281/zenodo.4594207 https://zenodo.org/record/4594207 |
| Summary: | This dataset (Part 1) provide the core resource files required for using the code of Orca, including models and the hg38 reference genome (resources_core.tar.gz), and the micro-C mcool files required for extracting the experimental observations (resources_mcools.tar.gz). Orca is a sequence-based deep learning modeling framework for multiscale genome 3D architecture. |
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