@@ -8,18 +8,26 @@ Components of BEDbase and geniml have been published independently. Here, we sho
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99Thanks for citing us! If you use BEDbase, geniml, or their components in your research, here are papers you can cite.
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11- | If you use... | Please cite ... |
12- | ---------------| -----------------|
13- | ` region2vec ` embeddings | Gharavi et al. (2021) * Bioinformatics* |
14- | ` bedspace ` search and embeddings | Gharavi et al. (2024) * Bioengineering* |
11+ | If you use... | Please cite ... |
12+ | ------------------------------------------- | -----------------|
13+ | ` region2vec ` embeddings | Gharavi et al. (2021) * Bioinformatics* |
14+ | ` bedspace ` search and embeddings | Gharavi et al. (2024) * Bioengineering* |
1515| ` scEmbed ` single-cell embedding framework | LeRoy et al. (2024) * NAR Genomics and Bioinformatics* |
16- | ` geniml ` region set evaluations | Zheng et al. (2024) * NAR Genomics and Bioinformatics* |
17- | ` geniml hmm ` module | Rymuza et al. (2024) * Nucleic Acis Research* |
18- | ` bedbase ` database | Unpublished |
16+ | ` geniml ` region set evaluations | Zheng et al. (2024) * NAR Genomics and Bioinformatics* |
17+ | ` geniml hmm ` module | Rymuza et al. (2024) * Nucleic Acis Research* |
18+ | ` bedbase ` database | Unpublished |
19+ | ` tokenizers ` module | LeRoy et al. (2025) * arXiv* |
20+ | ` atacformer ` foundation model | LeRoy et al. (2025) * bioRxiv* |
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2123## Full citation information for manuscripts
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25+ - ** LeRoy et al. (2025).** * Atacformer: A transformer-based foundation model for analysis and interpretation of ATAC-seq data* .
26+ * bioRxiv* . [ 10.1101/2025.11.03.685753] ( https://doi.org/10.1101/2025.11.03.685753 )
27+
28+ - ** LeRoy et al. (2025).** * Fast, memory-efficient genomic interval tokenizers for modern machine learning* .
29+ * arXiv* . [ 10.48550/arXiv.2511.01555] ( https://doi.org/10.48550/arXiv.2511.01555 )
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2331- ** Gharavi et al. (2024).** * Joint representation learning for retrieval and annotation of genomic interval sets* .
2432 * Bioengineering* . [ 10.3390/bioengineering11030263] ( http://dx.doi.org/10.3390/bioengineering11030263 )
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