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Benchmark

GFMBench-API

Python interface that wraps existing genomic tasks (GUE, VariantBenchmarks, LRB, BEND, TraitGym, SongLab ClinVar, BRCA1, VEP-eval, LOL-EVE) and a new ClinVar indel task behind one evaluation API.

Results are recorded on the linked protocols, tasks or configurations listed below. Their settings and evaluations are kept separate.

37 protocols with results

Overview

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Results on linked records

This benchmark has no results of its own in this release. 37 linked records have results. They are not assigned to the underlying benchmark: each record keeps its own settings and evaluations, and its scores are on its own page.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 74 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

Baseline status by linked protocol

Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

Coverage is derived from release 2026-10-22-1b7cf027e4f6. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.

Run instructions

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Strengths, limitations and unresolved questions

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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Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: lit-genomics-20261011-gfmbench-benchmark-gfmbench-api

areas
dna-genomes
contexts
research
entity level
suite
version
Preprint v2 (2026-08-11)
task
Supervised classification and zero-shot variant effect prediction on DNA sequence
scope note
Tasks are re-implementations of existing benchmarks with some changes, for example fixed test folds instead of cross-validation for VariantBenchmarks.
source locator
Technical Methods; Appendix task descriptions; Tables 1-5
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