Datasets:
chrom stringclasses 1
value | pos int64 10.1k 249M | ref stringclasses 4
values | alt stringclasses 4
values | llr_calibrated float32 -13.5 14.5 | abs_llr_calibrated float32 -4.15 13.5 |
|---|---|---|---|---|---|
1 | 10,129 | C | A | 1.991 | -1.991 |
1 | 10,129 | C | G | 1.119 | -1.119 |
1 | 10,129 | C | T | 1.188 | -1.188 |
1 | 10,130 | C | A | 1.466 | -1.466 |
1 | 10,130 | C | G | -0.39 | 0.39 |
1 | 10,130 | C | T | 1.722 | -1.722 |
1 | 10,131 | C | A | 1.679 | -1.679 |
1 | 10,131 | C | G | -0.264 | 0.264 |
1 | 10,131 | C | T | 1.865 | -1.865 |
1 | 10,132 | T | A | 3.446 | -1.292 |
1 | 10,132 | T | C | 3.707 | -0.659 |
1 | 10,132 | T | G | 0.997 | -0.997 |
1 | 10,133 | A | C | 2.884 | -1.736 |
1 | 10,133 | A | G | 1.601 | -1.601 |
1 | 10,133 | A | T | 2.341 | -2.341 |
1 | 10,134 | A | C | 2.57 | -2.144 |
1 | 10,134 | A | G | 1.422 | -1.422 |
1 | 10,134 | A | T | 1.881 | -1.881 |
1 | 10,135 | C | A | 1.997 | -1.997 |
1 | 10,135 | C | G | 1.13 | -1.13 |
1 | 10,135 | C | T | 1.184 | -1.184 |
1 | 10,136 | C | A | 1.447 | -1.447 |
1 | 10,136 | C | G | -0.386 | 0.386 |
1 | 10,136 | C | T | 1.738 | -1.738 |
1 | 10,137 | C | A | 1.67 | -1.67 |
1 | 10,137 | C | G | -0.273 | 0.273 |
1 | 10,137 | C | T | 1.865 | -1.865 |
1 | 10,138 | T | A | 3.451 | -1.287 |
1 | 10,138 | T | C | 3.712 | -0.654 |
1 | 10,138 | T | G | 1.028 | -1.028 |
1 | 10,139 | A | C | 2.886 | -1.734 |
1 | 10,139 | A | G | 1.592 | -1.592 |
1 | 10,139 | A | T | 2.337 | -2.337 |
1 | 10,140 | A | C | 2.506 | -2.209 |
1 | 10,140 | A | G | 1.385 | -1.385 |
1 | 10,140 | A | T | 1.801 | -1.801 |
1 | 10,141 | C | A | 2.044 | -2.044 |
1 | 10,141 | C | G | 1.139 | -1.139 |
1 | 10,141 | C | T | 1.16 | -1.16 |
1 | 10,142 | C | A | 1.384 | -1.384 |
1 | 10,142 | C | G | -0.432 | 0.432 |
1 | 10,142 | C | T | 1.669 | -1.669 |
1 | 10,143 | C | A | 1.607 | -1.607 |
1 | 10,143 | C | G | -0.297 | 0.297 |
1 | 10,143 | C | T | 1.803 | -1.803 |
1 | 10,144 | T | A | 3.481 | -1.258 |
1 | 10,144 | T | C | 3.759 | -0.607 |
1 | 10,144 | T | G | 1.098 | -1.098 |
1 | 10,145 | A | C | 2.96 | -1.659 |
1 | 10,145 | A | G | 1.635 | -1.635 |
1 | 10,145 | A | T | 2.304 | -2.304 |
1 | 10,146 | A | C | 2.334 | -2.334 |
1 | 10,146 | A | G | 1.364 | -1.364 |
1 | 10,146 | A | T | 1.592 | -1.592 |
1 | 10,147 | C | A | 2.189 | -2.189 |
1 | 10,147 | C | G | 1.356 | -1.356 |
1 | 10,147 | C | T | 1.24 | -1.24 |
1 | 10,148 | C | A | 1.028 | -1.028 |
1 | 10,148 | C | G | -0.688 | 0.688 |
1 | 10,148 | C | T | 1.58 | -1.58 |
1 | 10,149 | C | A | 0.861 | -0.861 |
1 | 10,149 | C | G | -0.875 | 0.875 |
1 | 10,149 | C | T | 1.167 | -1.167 |
1 | 10,150 | C | A | 0.949 | -0.949 |
1 | 10,150 | C | G | -0.669 | 0.669 |
1 | 10,150 | C | T | 1.541 | -1.541 |
1 | 10,151 | T | A | 3.891 | -0.848 |
1 | 10,151 | T | C | 3.665 | -0.701 |
1 | 10,151 | T | G | 1.392 | -1.392 |
1 | 10,152 | A | C | 2.546 | -2.073 |
1 | 10,152 | A | G | 1.388 | -1.388 |
1 | 10,152 | A | T | 2.053 | -2.053 |
1 | 10,153 | A | C | 2.701 | -2.013 |
1 | 10,153 | A | G | 1.438 | -1.438 |
1 | 10,153 | A | T | 1.994 | -1.994 |
1 | 10,154 | C | A | 2.118 | -2.118 |
1 | 10,154 | C | G | 1.193 | -1.193 |
1 | 10,154 | C | T | 1.122 | -1.122 |
1 | 10,155 | C | A | 1.402 | -1.402 |
1 | 10,155 | C | G | -0.44 | 0.44 |
1 | 10,155 | C | T | 1.624 | -1.624 |
1 | 10,156 | C | A | 1.367 | -1.367 |
1 | 10,156 | C | G | -0.417 | 0.417 |
1 | 10,156 | C | T | 1.785 | -1.785 |
1 | 10,157 | T | A | 3.653 | -1.085 |
1 | 10,157 | T | C | 3.733 | -0.633 |
1 | 10,157 | T | G | 1.152 | -1.152 |
1 | 10,158 | A | C | 2.645 | -1.975 |
1 | 10,158 | A | G | 1.513 | -1.513 |
1 | 10,158 | A | T | 2.151 | -2.151 |
1 | 10,159 | A | C | 2.686 | -2.028 |
1 | 10,159 | A | G | 1.478 | -1.478 |
1 | 10,159 | A | T | 2.068 | -2.068 |
1 | 10,160 | C | A | 2.116 | -2.116 |
1 | 10,160 | C | G | 1.212 | -1.212 |
1 | 10,160 | C | T | 1.132 | -1.132 |
1 | 10,161 | C | A | 1.488 | -1.488 |
1 | 10,161 | C | G | -0.387 | 0.387 |
1 | 10,161 | C | T | 1.704 | -1.704 |
1 | 10,162 | C | A | 1.462 | -1.462 |
GPN-Star genome-wide scores
Genome-wide, mutation-rate-calibrated GPN-Star constraint and variant scores for eight score sets covering human, mouse, chicken, D. melanogaster, C. elegans, and A. thaliana. Canonical scores are available as chromosome-sharded Parquet. Hugging Face hosts 72 BigWigs; a multi-assembly UCSC track hub references the 64 logo/LLR views.
Overview and quick links
| Resource | Link |
|---|---|
| Files | Browse all dataset files |
| Default Dataset Viewer config | Human mammalian-model LLR |
| UCSC hub | Load the multi-assembly GPN-Star hub |
| Human browser quick start | Open UCSC's current default hg38 context plus GPN-Star-M tracks |
| Source code | gonzalobenegas/gpn-star-scores |
| Immutable source snapshot | d8e7e415d17865a3579885bdb9cb2728c9113970 |
| Paper | Predicting functional constraints across evolutionary timescales with phylogeny-informed genomic language models |
| Immutable public metadata base | cdaa131f2a105fae804ffdba9c67a7f128e69f70 |
| Release manifest | manifest/release.json |
Parquet is the canonical analysis product. It retains the supplied chromosome
names, one-based positions, and Float32 score values. BigWigs are display
products with explicit coordinate conversion and three-decimal values where
documented.
What is included
- Eight score sets: three GPN-Star models on hg38 plus mm39, gg6, dm6, ce11, and tair10.
- 16 explicit Parquet configurations: one LLR and one entropy configuration for each score set.
- 290 canonical chromosome shards containing 51,402,120,888 rows.
- 72 browser BigWigs: 40 v1 entropy and sequence-logo artifacts plus 32 signed A/C/G/T LLR artifacts.
- One multi-assembly UCSC hub spanning six working UCSC databases and referencing 64 logo/LLR BigWigs. Entropy BigWigs remain downloadable but are not displayed in the hub.
- Machine-readable manifests containing file identities, sizes, SHA-256 checksums, row counts, and immutable revision provenance.
Score sets, assemblies, and browser databases
A score set is one model's released directory. A Parquet assembly name identifies the reference assembly and chromosome naming used by its canonical tables. A UCSC database name selects the compatible browser database; it can differ from the Parquet assembly name.
| Score set | Organism/model | Parquet assembly | Working UCSC database | Model |
|---|---|---|---|---|
gpn-star-hg38-v100-200m |
Human, 100-vertebrate alignment | hg38 |
hg38 |
GPN-Star-V |
gpn-star-hg38-m447-200m |
Human, 447-mammal alignment | hg38 |
hg38 |
GPN-Star-M |
gpn-star-hg38-p243-200m |
Human, 243-primate alignment | hg38 |
hg38 |
GPN-Star-P |
mm39 |
Mouse, 35-way mammal alignment | mm39 |
mm39 |
GPN-Star mm39 |
gg6 |
Chicken, 77-way vertebrate alignment | gg6 |
galGal6 |
GPN-Star galGal6 |
dm6 |
D. melanogaster, 124-way insect alignment | dm6 |
dm6 |
GPN-Star dm6 |
ce11 |
C. elegans, 135-way nematode alignment | ce11 |
ce11 |
GPN-Star ce11 |
tair10 |
A. thaliana, 18-way plant alignment | tair10 |
GCF_000001735.4 |
GPN-Star TAIR10 |
Coordinate conventions
- Parquet: supplied assembly chromosome names without an added
chrprefix and one-basedpos: Int64coordinates. - BigWig and UCSC: UCSC chromosome names and zero-based, half-open intervals.
For example, Parquet position chrom="22", pos=20_000_001 is represented in a
BigWig as the one-base interval chr22:20_000_000-20_000_001. Keep this
conversion explicit when comparing table and browser values.
What the scores mean
The interpretations in this section come from the source Box
README.md, file 2154252568578,
version 2495703203934. The interpretation and example blocks are reproduced
verbatim.
LLR and absLLR
llr_calibrated is a variant-level score. Each LLR table has one row for every
genomic position × non-reference A/C/G/T allele, normally three alternate rows
per covered position. The score compares the alternate allele with the
reference allele.
| Column | Type | Meaning |
|---|---|---|
chrom |
String | Supplied assembly chromosome name |
pos |
Int64 | One-based genomic position |
ref |
String | Reference nucleotide |
alt |
String | Non-reference alternate nucleotide |
llr_calibrated |
Float32 | Mutation-rate-calibrated log-likelihood ratio, alternate versus reference |
abs_llr_calibrated |
Float32 | Mutation-rate-calibrated absolute LLR |
llr_calibrated: More negative = more constrained or larger effect.
abs_llr_calibrated: Magnitude of the variant's effect relative to a neutral substitution.
Positive = larger effect than neutral; negative = smaller. Useful when the direction of effect
is not relevant.
Example:
chrom pos ref alt llr_calibrated abs_llr_calibrated
21 5010065 T A -1.774 1.774
21 5010065 T C -1.550 1.550
21 5010065 T G -1.670 1.670
Release data note: abs_llr_calibrated is an independently supplied
calibrated score. It must not be calculated as abs(llr_calibrated), and
matching magnitudes in example rows do not imply a derivation.
The release exposes three distinct LLR-related representations:
- Canonical Parquet
llr_calibrated: the supplied full-precision variant-levelFloat32value. - Signed A/C/G/T LLR BigWigs: browser values that retain each alternate
allele's
llr_calibrated; the reference allele is assigned an explicit zero. UCSC displays these tracks as-LLRwithout modifying the files. These tracks are rounded to three decimal places. - A/C/G/T sequence-logo BigWigs: visualization heights derived from calibrated LLRs. They are not LLRs, probabilities, or canonical score products.
Entropy
entropy_calibrated is a position-level score with one row per covered genomic
position.
| Column | Type | Meaning |
|---|---|---|
chrom |
String | Supplied assembly chromosome name |
pos |
Int64 | One-based genomic position |
ref |
String | Reference nucleotide |
entropy_calibrated |
Float32 | Mutation-rate-calibrated positional entropy |
Interpretation: ~1.0 = neutral; <1.0 = constrained; the lower the more constrained.
Example:
chrom pos ref entropy_calibrated
21 5010065 T 0.486
21 5010066 A 0.644
21 5010067 A 0.591
Query the scores in code
This example joins UKB fine-mapped variants with GPN-Star (M) LLR scores. It filters each chromosome shard to the exact requested positions before joining.
The example contains 11,400 variants across the 22 autosomes. On an AMD EPYC 7543 CPU node with 16 allocated CPUs and Polars 1.42.1, the remote version took 10 minutes 41 seconds and the local version took 5.94 seconds.
The local version requires 22 Parquet shards totaling about 52 GiB.
Runtime depends not only on the number of variants, but also on their genomic locality. Variants clustered within one gene generally touch fewer Parquet row groups and run faster than sparse variants spread across a chromosome or the whole genome.
import polars as pl
keys = ["chrom", "pos", "ref", "alt"]
variants = pl.read_parquet(
"hf://datasets/songlab/ukb_finemapped_nc_traitgym/test.parquet",
columns=keys,
)
# Remote scores (no full score download required):
score_root = (
"hf://datasets/songlab/gpn-star-scores/"
"data/gpn-star-hg38-m447-200m/llr"
)
# Local scores (use this instead after downloading the LLR shards):
# score_root = "/path/to/gpn-star-scores/data/gpn-star-hg38-m447-200m/llr"
results = []
for chrom in variants.get_column("chrom").unique(maintain_order=True):
chrom_variants = variants.filter(pl.col("chrom") == chrom)
positions = chrom_variants.get_column("pos").unique().to_list()
scores = (
pl.scan_parquet(f"{score_root}/llr_chr{chrom}.parquet")
.filter(pl.col("pos").is_in(positions))
)
results.append(
chrom_variants.lazy()
.join(scores, on=keys, how="left")
.collect(engine="streaming")
)
annotated = pl.concat(results)
Use the UCSC Genome Browser
The stable multi-assembly hub URL loads eight GPN-Star model groups across six working UCSC databases. Each model group includes:
- four derived A/C/G/T sequence-logo tracks; and
- four signed A/C/G/T tracks displayed as
-LLR, with an explicit zero for the reference allele.
Entropy BigWigs remain available in the dataset but are not part of the UCSC
hub. The logo and -LLR default to 16 pixels high. The -LLR rows default to
a dense grayscale 0–10 view and use UCSC's display-time negation: higher
displayed values correspond to more-negative source LLR and therefore greater
constraint or a larger predicted functional effect. When expanded, negative
source LLR appears as positive -LLR in muted blue (60,60,140), while
positive source LLR appears as negative -LLR in muted red (140,60,60).
Model-specific launch links
The links below start from UCSC's clean default settings with
ignoreCookie=1, retain UCSC's native default context tracks, and add one
selected GPN-Star model group with the sequence logo at full and -LLR at
dense. For assemblies with multiple GPN-Star models, the other GPN-Star
groups are explicitly hidden so that only the selected model is displayed.
The links intentionally do not use hideTracks=1, because that parameter
would remove the native context shown in the default Genome Browser view.
The links do not set position. Each one therefore inherits whatever locus and
native context tracks UCSC currently defines as the default for that database.
If UCSC changes a default locus or adds default tracks in the future, the link
inherits those changes while continuing to add the selected GPN-Star model
group.
| Score set | UCSC database | Browser | Position policy |
|---|---|---|---|
gpn-star-hg38-v100-200m |
hg38 |
Open default context + GPN-Star-V tracks | Current UCSC default (dynamic) |
gpn-star-hg38-m447-200m (default) |
hg38 |
Open default context + GPN-Star-M tracks | Current UCSC default (dynamic) |
gpn-star-hg38-p243-200m |
hg38 |
Open default context + GPN-Star-P tracks | Current UCSC default (dynamic) |
mm39 |
mm39 |
Open default context + GPN-Star tracks | Current UCSC default (dynamic) |
gg6 |
galGal6 |
Open default context + GPN-Star tracks | Current UCSC default (dynamic) |
dm6 |
dm6 |
Open default context + GPN-Star tracks | Current UCSC default (dynamic) |
ce11 |
ce11 |
Open default context + GPN-Star tracks | Current UCSC default (dynamic) |
tair10 |
GCF_000001735.4 |
Open default context + GPN-Star tracks | Current UCSC default (dynamic) |
This dynamic-default behavior is intentional. It prioritizes a familiar, up-to-date UCSC context over reproducing one historical locus forever.
Genomic span is controlled by the position interval. Image width in pixels
can be controlled with UCSC's pix parameter, but the primary interactive
links leave pixel width responsive to the user's browser.
File layout, implementation, and provenance
Complete public file layout
data/
<score-set>/
entropy/
entropy_chr<chrom>.parquet
llr/
llr_chr<chrom>.parquet
bigwig/
<score-set>/
entropy.bw
A.bw
C.bw
G.bw
T.bw
llr_A.bw
llr_C.bw
llr_G.bw
llr_T.bw
manifest/
release.json
raw-llr-validation.json
ucsc-hub.json
ucsc/
hub.txt
genomes.txt
<ucsc-database>/
trackDb.txt
README.md
Browser transformation details
- Entropy BigWigs contain
entropy_calibrated. - Signed LLR BigWigs retain alternate-allele
llr_calibrated, assign the reference allele an explicit zero for display, and do not read or deriveabs_llr_calibrated. - For the derived sequence-logo tracks, the reference nucleotide receives
logit zero and the three alternate nucleotides receive their independently
supplied
llr_calibratedvalues. A stableFloat64softmax produces base weights, and each height isp(base) * (2 - H)for base-2 entropyH. - Final browser values are stored as
Float32and rounded to three decimals. They are visualization values rather than canonical scores or raw model probabilities.
Immutable provenance
| Component | Immutable identity |
|---|---|
| Original interpretation source | Box README.md, file 2154252568578, version 2495703203934, SHA-1 4b553074826e6a711d5308409ac8b1a0129d9f66 |
| Canonical Parquet and v1 entropy/logo artifact revision | 5c799b2ec6aa089f0caa8294ae72adb4510f81ae |
| Signed LLR BigWig artifact revision | 47e7f051113abab49f04f43f9107cae2cbbfd34d |
| README publication base | cdaa131f2a105fae804ffdba9c67a7f128e69f70 |
| Dataset-card source implementation commit | d8e7e415d17865a3579885bdb9cb2728c9113970 |
The release manifest records Parquet and BigWig identities, sizes, checksums, row counts, and artifact revisions. The UCSC manifest records browser database mappings, track URLs, and validation scope. Metadata-only card publication does not upload, rewrite, or delete any Parquet or BigWig.
License and citation
The dataset is released under the Apache License 2.0. Please cite:
Ye C, Benegas G, Albors C, Li JC, Prillo S, Fields PD, Clarke B, Song YS.
Predicting functional constraints across evolutionary timescales with
phylogeny-informed genomic language models.
bioRxiv (2025). doi: 10.1101/2025.09.21.677619.
@article{ye2025predicting,
title={Predicting functional constraints across evolutionary timescales with
phylogeny-informed genomic language models},
author={Ye, Chengzhong and Benegas, Gonzalo and Albors, Carlos and Li,
Jianan Canal and Prillo, Sebastian and Fields, Peter D and Clarke, Brian
and Song, Yun S},
journal={bioRxiv},
year={2025},
doi={10.1101/2025.09.21.677619}
}
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