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@@ -8,18 +8,26 @@ Components of BEDbase and geniml have been published independently. Here, we sho
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Thanks for citing us! If you use BEDbase, geniml, or their components in your research, here are papers you can cite.
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| If you use... | Please cite ... |
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|---------------|-----------------|
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| `region2vec` embeddings | Gharavi et al. (2021) *Bioinformatics* |
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| `bedspace` search and embeddings | Gharavi et al. (2024) *Bioengineering* |
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| If you use... | Please cite ... |
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|-------------------------------------------|-----------------|
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| `region2vec` embeddings | Gharavi et al. (2021) *Bioinformatics* |
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| `bedspace` search and embeddings | Gharavi et al. (2024) *Bioengineering* |
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| `scEmbed` single-cell embedding framework | LeRoy et al. (2024) *NAR Genomics and Bioinformatics* |
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| `geniml` region set evaluations | Zheng et al. (2024) *NAR Genomics and Bioinformatics* |
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| `geniml hmm` module | Rymuza et al. (2024) *Nucleic Acis Research* |
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| `bedbase` database | Unpublished |
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| `geniml` region set evaluations | Zheng et al. (2024) *NAR Genomics and Bioinformatics* |
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| `geniml hmm` module | Rymuza et al. (2024) *Nucleic Acis Research* |
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| `bedbase` database | Unpublished |
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| `tokenizers` module | LeRoy et al. (2025) *arXiv* |
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| `atacformer` foundation model | LeRoy et al. (2025) *bioRxiv* |
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## Full citation information for manuscripts
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- **LeRoy et al. (2025).** *Atacformer: A transformer-based foundation model for analysis and interpretation of ATAC-seq data*.
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*bioRxiv*. [10.1101/2025.11.03.685753](https://doi.org/10.1101/2025.11.03.685753)
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- **LeRoy et al. (2025).** *Fast, memory-efficient genomic interval tokenizers for modern machine learning*.
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*arXiv*. [10.48550/arXiv.2511.01555](https://doi.org/10.48550/arXiv.2511.01555)
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- **Gharavi et al. (2024).** *Joint representation learning for retrieval and annotation of genomic interval sets*.
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*Bioengineering*. [10.3390/bioengineering11030263](http://dx.doi.org/10.3390/bioengineering11030263)
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