Published March 21, 2026
| Version v1
Dataset
Open
In vivo validation of predicted fitness effects at single-base resolution in a Brachypodium distachyon mutant population
Authors/Creators
Description
Datasets used in the analyses of the SIEVE population in the article 'In vivo validation of predicted fitness effects at single-base resolution in a Brachypodium distachyon mutant population'.
- snps.combined.vcf.gz: genotypic data for point mutations in the SIEVE population at M2 and M5 generations.
- scores.zip: scores used to predict the effect of point mutations in burden and purging tests: SIFT, ESM, PlantCAD, a2z, and PhytoExpr predictions
- gene_annotations.zip: gene annotations used to classify genes in gene depletion analyses: GO classes and PMN pathways
- SIFT_DB.zip: SIFT4G database used to annotate missense variants (consequences on protein sequence, in addition to SIFT scores)
- phenotypes.zip: phenotypic data in the SIEVE population at M3 and M4 generations: germination rate (germination), heading date (heading), plant height (height), and total seed weight (weight)
Files
gene_annotations.zip
Files
(9.3 GB)
| Name | Size | Download all |
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md5:7fbc6ffe15a658cbeeff9d17fcfafdfe
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27.4 MB | Preview Download |
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md5:7685fc27c413d4927f038fafeceb9778
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310.8 kB | Preview Download |
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md5:be3e4fd86b9d4732c33b0291103d72a4
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77.6 MB | Preview Download |
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md5:da2eeb1655667ea02c95b5fb9383728c
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1.6 GB | Preview Download |
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md5:48caa51cc0d82ed788ffd496ca0477a3
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7.6 GB | Download |
Additional details
Funding
- Novo Nordisk Foundation
- Selection of mutations by in silico and experimental variant effects (SIEVE): a new strategy to improve fitness in cool-season grasses NNF21OC0067311
Software
- Repository URL
- https://github.com/guillaume-ramstein/sieve/tree/main