Published December 6, 2025
| Version v2
Dataset
Open
RegEvol: detection of directional selection in regulatory sequences through phenotypic predictions and phenotype-to-fitness functions
Authors/Creators
-
1.
University of Lausanne
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2.
SIB Swiss Institute of Bioinformatics
Description
Datasets from the paper
“RegEvol: detection of directional selection in regulatory sequences through phenotypic predictions and phenotype-to-fitness functions”
The repository includes:
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BSgenomes used to generate matched negative sequences for model training: BSgenomes.tar.gz
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RegEvol result tables for the analysed ChIP-seq peaks across 11 species: ChIP_peaks_RegEvol.Rds
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RegEvol result tables for the analysed Drosophila melanogaster modERN peaks: drosophila_modERN_RegEvol.Rds
- RegEvol result tables for the analysed Homo sapiens CTCF peaks from ENCODE, including tissue-specific activity annotations: human_CTCF_ENCODE_RegEvol.Rds
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Substitution matrices per chromosome from PhyML for each analysed species
- Whole-genome alignment with reconstructed ancestral states for human and mouse (extracted from Armstrong et al. 2020) and for fly (extracted from Peng and Zhao 2024)
Files
Files
(8.6 GB)
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md5:1cf2194952b7b688eb28d7ef3afd71ed
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3.9 GB | Download |
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md5:1754b93690fdbd8b4242a95d03e71337
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174.8 MB | Download |
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md5:ec9ff425488ae86c47a41d272bb92d6e
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714.3 MB | Download |
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md5:3699a6fc9cf55438841695b3a44634da
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117.1 MB | Download |
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md5:84335ffe1e9d4a27d380ed1700589a99
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1.8 GB | Download |
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md5:d5c4fbee46d1b0d2d26511dd2912500a
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15.6 MB | Download |
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md5:b88908af0abb2436d740ec4aa107fd37
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1.9 GB | Download |
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md5:bc6bd79f8613e144aaf76961c1379b66
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20.4 kB | Download |
Additional details
Related works
- Is described by
- Publication: 10.1101/2025.11.26.690685 (DOI)
Funding
- Swiss National Science Foundation
- Selection on gene expression at different time scales and vertebrate Evo-Devo 207853
Software
- Repository URL
- https://github.com/mrrlab/RegEvol