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@@ -54,9 +54,20 @@ find_motif_fasta_folder(<fasta-folder-path>, <output-folder>)
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- Perform motif discovery on all the fasta files in the `<fasta-folder-path>`, and
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- Output each of the results in a pre-specified folder `<output-folder>`.<br><br>
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# Citing UnfoldCDL
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# Citation
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If you use `UnfoldCDL` in your work, please cite
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The paper for UnfoldCDL can be found at [https://www.biorxiv.org/content/10.1101/2022.11.06.515322v2](https://www.biorxiv.org/content/10.1101/2022.11.06.515322v2). It can be cited using the following BibTex entry:
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```
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Shane K. Chu, Gary D. Stormo, Deep unfolded convolutional dictionary learning for motif discovery, bioRxiv 2022.11.06.515322; doi: https://doi.org/10.1101/2022.11.06.515322
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@article {Chu2022.11.06.515322,
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author = {Chu, Shane Kuei-Hsien and Stormo, Gary D},
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title = {Deep unfolded convolutional dictionary learning for motif discovery},
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elocation-id = {2022.11.06.515322},
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year = {2022},
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doi = {10.1101/2022.11.06.515322},
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publisher = {Cold Spring Harbor Laboratory},,
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URL = {https://www.biorxiv.org/content/early/2022/11/07/2022.11.06.515322},
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eprint = {https://www.biorxiv.org/content/early/2022/11/07/2022.11.06.515322.full.pdf},
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journal = {bioRxiv}
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}
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```
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