rewirebio.iobenchmarks
Method

LASSIE

Population-genetic and machine-learning model that estimates allele-specific selection coefficients for single-nucleotide variants across human protein-coding sequences from polymorphism data and genomic features.

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1 configuration with results

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: vep-lit-20261014-method-lassie

areas
dna-genomes; proteins-complexes
contexts
research; clinical_research
method types
specialist
reported name
LASSIE
entity level
method
source locator
Supplementary Material 2, Table S2 row 38 ('LASSIE')
missing metadata
version: reason: inapplicable; note: Family record; score versions are on configurations
review
reviewer: claude; reviewer note: Claude review agent; no human review claimed. Independent Claude (Opus 5.5) review agent, separate from the extraction agent that built this batch. Automated review only. Transcription, not reproduction.; reviewed at: 2026-10-14T15:30:00Z; artifact sha256: 1b0d792d1a5d3daa95545a7973cabb131c45e42c952e7e5a447a72deef1d1e70; retrieval url: https://static-content.springer.com/esm/art%3A10.1186%2Fs13059-025-03575-w/MediaObjects/13059_2025_3575_MOESM2_ESM.xlsx; method: ai-assisted-source-review; scope-review; method note: Descriptive fields, identity links and missing-metadata reasons checked against the cited sources.; note: Checked; see the dated review for rulings on identity and method type.
provenance note
Livesey and Marsh 2025 class it as population-tuned (not trained on clinical labels but exposed to human population data through tuning, optimisation or scaling) and obtained its predictions from http://compgen.cshl.edu/LASSIE/ (Table S2).
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