iiinova — where your digital self keeps evolving

April Wei @aprilwei.bsky.social · 14/09/2026

New preprint from our collaborators @giulsguidi.bsky.social, and her PhD students Yifan Li and Qingyao Sun, which enabled GRG-based statistical genetics across different computer architecture🔥. So the practical win for GRG users: you can pick the matvec backend to best leverage your machine &task.

biorxiv.org

Sparse Linear Algebra Accelerates Genotype Representation Graph Computation at Biobank Scale

Biobank-scale genomic analyses are increasingly constrained by computational costs, as hundreds of thousands to millions of samples and variants must be analyzed together. The genotype representation ...

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Reposted by April Wei

bioRxiv Genomics @biorxiv-genomic.bsky.social · 12/09/2026

Sparse Linear Algebra Accelerates Genotype Representation Graph Computation at Biobank Scale www.biorxiv.org/content/10.64898/20…

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Reposted by April Wei

Giulia Guidi @giulsguidi.bsky.social · 13/09/2026

Two months ago, Yifan Li won the Best Poster Award at ICS 2026 for “Faster Biobank-Scale Analysis Through Sparse Linear Algebra.” I promised more soon, and here it is! 🧵

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April Wei @aprilwei.bsky.social · 12/04/2026

Very proud to share our new work on General, orders-of-magnitude faster whole-genome analysis with genotype representation graphs (GRG). We topped ourselves in this one 🚀 and made GRG a practical foundation for biobank-scale population and statistical genetics. www.biorxiv.org/content/10.6...

biorxiv.org

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Reposted by April Wei

Bioinformatics Advances @bioinfoadv.bsky.social · 13/02/2026

📊 Explore the latest from Bioinformatics Advances: "Fast phenotype simulation for genotype representation graphs" Read the full paper here: doi.org/10.1093/bioadv/vbag040 Authors include: @aprilwei.bsky.social

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April Wei @aprilwei.bsky.social · 25/08/2025

Very proud of this manuscript with two talented undergraduate students, Aditya Syam and Chris Adonizio. We are continuing to push towards more scalable statistical genetics with Genotype Representation Graphs, and this is the start. www.biorxiv.org/content/10.1...

biorxiv.org

Fast Phenotype Simulation for Genotype Representation Graphs

Motivation The Genotype Representation Graph (GRG) [[DeHaas et al., 2025][1]] is a graph representation of whole genome polymorphisms, designed to encode the variant hard-call information in phased wh...

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Reposted by April Wei

Nature Computational Science @natcomputsci.nature.com · 31/01/2025

📢In a recent News & Views, @ryanlayer.bsky.social discusses a data structure introduced by @aprilwei.bsky.social and colleagues for reducing storage and computational costs for phased whole-genome polymorphisms. www.nature.com/articles/s43... 🔓https://rdcu.be/d8ay3

nature.com

Biologically inspired graphs to explore massive genetic datasets - Nature Computational Science

A recent study proposes a data structure that addresses crucial challenges related to storage and computation of large genome databases.

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April Wei @aprilwei.bsky.social · 05/12/2024

Our work w/ two co-first authors Drew DeHaas and Ziqing Pan is now published. GRG allows large amounts of WGS polymorphism data to be analyzed in RAM via graph traversal & algebra operations & has some intrinsic connection w/ popgen data generating process & is different from ARG

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April Wei @aprilwei.bsky.social · 29/04/2024

We introduced an ARG-inspired data structure, Genotype Representation Graph (GRG), to enable lossless data compression and efficient computation through graph traversal. Developed a fast inference method. Cost ~80 GBP to convert 350TB VCF (200,000 UKBiobank WGS) into 160 GB GRG. t.co/0badfCYz47

t.co

Genotype Representation Graphs: Enabling Efficient Analysis of Biobank-Scale Data

bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

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