Accurate, scalable structural variant genotyping in complex genomes at population scales. #VariantGenotyping #StructuralVariants #PopulationScale #Genomics #Bioinformatics @molbioevol.bsky.social 🧬 🖥️ academic.oup.com/mbe/advance-...

scTail: precise polyadenylation site detection and its alternative usage analysis from reads 1 preserved 3′ scRNA-seq data. #PolyAsite #scRNAseq #GenomeBiology genomebiology.biomedcentral.com/articles/10....

Very excited to share new work from my PhD on a new software package for eQTL mapping: quasar. The quasar software package is a C++ program designed to provide a flexible and efficient eQTL mapping. www.medrxiv.org/content/10.1...

Flexible and efficient count-distribution and mixed-model methods for eQTL mapping with quasar

Identifying genetic variants that affect gene expression, expression quantitative trait loci (eQTLs), is a major focus of modern genomics. Today, various methods exist for eQTL mapping, each using dif...

medrxiv.org

PanVA: a visual analytics tool for pangenomic variant analysis. #Pangenomes #VariantAnalysis #DataVisualization #Genomics #Bioinformatics @biorxiv-bioinfo.bsky.social‬ 🧬 🖥️ www.biorxiv.org/content/10.1...

A Benchmark of Modern Statistical Phasing Methods. #DNAphasing #MethodsBenchmarking #Genomics #Bioinformatics @biorxiv-genomic.bsky.social‬ 🧬 🖥️ www.biorxiv.org/content/10.1...

In vivo mapping of mutagenesis sensitivity of human enhancers www.nature.com/articles/s41...

In vivo mapping of mutagenesis sensitivity of human enhancers - Nature

Human enhancers contain a high density of sequence features that are required for their normal in vivo function.

nature.com

Preprint on "Improving spliced alignment by modeling splice sites with deep learning". It describes minisplice for modeling splice signals. Minimap2 and miniprot now optionally use the predicted scores to improve spliced alignment. arxiv.org/abs/2506.12986

cuteFC: regenotyping structural variants through an accurate and efficient force-calling method genomebiology.biomedcentral.com/articles/10...

📣 Latest from the lab: Performance of deep-learning-based approaches to improve polygenic scores www.nature.com/articles/s41... Its thought deep learning will substantially improve PGS but the reality is MANY have tried but no/little gain has been seen so far. Here we report our negative results.

SNP calling, haplotype phasing and allele-specific analysis with long RNA-seq reads www.biorxiv.org/content/10.1... 🧬🖥️🧪 longcallR: github.com/huangnengCSU... Nextflow workflow: github.com/huangnengCSU...

Check out our latest blog post to discover how to build custom Docker images for Seqera Studios, with real-world examples including Marimo, Streamlit, CELLxGENE, and Shiny! 🌟 📖 Read the blog post: hubs.la/Q03psL-t0

Happy to share our new study on genetic & environmental contributors to age-related decline in ~100K UK Biobank participants! Here, we used simulation work + longitudinal GWAS and downstream analyses to explore risks involved in cognitive/physical decline (1/)🧵🧵 shorturl.at/99gqL

Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline - Nature Communications

Large-scale genomic studies focusing on the genetic contribution to human aging have mostly relied on cross-sectional data. With the release of longitudinally curated aging phenotypes by the UK Bioban...

shorturl.at

ConsensuSV-ONT: A modern method for accurate structural variant calling www.nature.com/articles/s41... 🧬🖥️🧪 Nextflow: github.com/SFGLab/Conse...

🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇

📣 Mark your calendars! The 2025 edition of the scverse conference will take place on 17-19 November at Stanford University (US) scverse.org/conference20... Call for abstracts and registrations coming soon!

scverse conference 2025

Follow us on our channels to learn more details in the coming weeks

scverse.org

Our work looking at the effects of using autosomal assumptions for calling variation on X and Y. We used simulated data to compare to a ground truth. Tldr: Accurate ploidy is important for reducing false positives; appropriate alignment reduces false negatives. www.biorxiv.org/content/10.1...

Best practices for improving alignment and variant calling on human sex chromosomes

Sex chromosome complement is the largest karyotypic variation observed in humans. X and Y chromosomes were once a pair of homologous autosomes. Although chromosome X and Y differentiated from one anot...

biorxiv.org

py_ped_sim: a flexible forward pedigree and genetic simulator for complex family pedigree analysis bmcbioinformatics.biomedcentral.com/articles/10.... 🧬🖥️🧪 github.com/MiguelGuarda...

Human de novo mutation rates from a four-generation pedigree reference www.nature.com/articles/s41... 🧬🖥️🧪

(1/3)🧬 Tissue Genetics: Prevalent genetic effects extend beyond cell boundaries, shaping gut tissue immunology. Work with Aviv Regev, Ramnik Xavier @broadinstitute.org, Kirk Gosik, Heping Xu, Gary Churchill, Kushal K. Dey and other great collaborators. www.biorxiv.org/content/10.1...

Prevalent cross-cell type QTL trans-regulatory genetic effects impacting innate lymphoid cells in the small intestine

Tissue function in homeostasis and disease arise from coordinated interactions between different cell types and can vary between individuals in a population, in part due to the impact of genetic varia...

biorxiv.org

Big updates for the Nextflow @vscode.dev extension! 🚀 🔍 Workflow view – Visualize logical structure of pipelines ⚙️ Process view – See all processes in one place 🌐 Seqera view – Manage connected CEs directly in the IDE 📚 Resources view – Quickly access Copilot, AI tools & training

Some encouraging news for cross-gene generalization of allele effects in S2F models. www.biorxiv.org/content/10.1...

Deep genomic models of allele-specific measurements

Allele-specific quantification of sequencing data, such as gene expression, allows for a causal investigation of how DNA sequence variations influence cis gene regulation. Current methods for analyzin...

biorxiv.org

To the top of the "to-read" list. Looks like a heroic amount of work from the Hahn lab (large-scale ChEC-seq compendium!) www.nature.com/articles/s41...

Low overlap of transcription factor DNA binding and regulatory targets - Nature

A near-complete survey of transcription factor activities in Saccharomyces cerevisiae reveals that most transcription factors have both activator and repressor activities and limited overlap between t...

nature.com

New paper out in Genome Biology! 🎉 We lay out best-practice guidelines for releasing variant effect predictors, developed through the Atlas of Variant Effects Alliance @varianteffect.bsky.social Open, interpretable, and clinically useful VEPs are the goal. 📄 doi.org/10.1186/s130...

Guidelines for releasing a variant effect predictor - Genome Biology

Computational methods for assessing the likely impacts of mutations, known as variant effect predictors (VEPs), are widely used in the assessment and interpretation of human genetic variation, as well...

doi.org

🎙️Just released: Episode 51 of the @nextflow.io podcast! @ewels.bsky.social and Ben Sherman discuss the upcoming #Nextflow strict syntax - cleaner code, better errors, and a more consistent language framework. Learn what's changing and how to prepare your pipelines: hubs.la/Q03hpNvx0

Nextflow strict syntax | The Nextflow Podcast by Seqera

Seqera | The Home for Open Science | From the creators of Nextflow, Wave, and MultiQC

hubs.la

scnanoseq nf-co.re/scrnaseq: an nf-core [Nextflow] pipeline for Oxford Nanopore single-cell RNA-sequencing www.biorxiv.org/content/10.1... 🧬🖥️🧪 github.com/nf-core/scna...

distQTL: Distribution Quantitative Trait Loci Identification by Population-Scale Single-Cell Data https://www.biorxiv.org/content/10.1101/2025.04.04.647121v1

We are excited to announce that Studios is now generally available!🎉 Studios lets you easily transition from bioinformatics workflows to secure, interactive analysis environments on your own infrastructure. 💡Read the blog to find out more: hubs.la/Q03gy11J0

🚀 Truvari v5.0 is here! 🎉 What’s new? 🔹 Enhanced symbolic variant support for <DEL>, <DUP>, <INV> 🔹 Robust BND comparison for cross-representation SV matching 🔹 Improved SV sequence similarity & HUGE SV support 🔹 Cleaner UI & Revamped API 👉 More: github.com/ACEnglish/tr... #Genomics #Bioinformatics

GitHub - ACEnglish/truvari: Structural variant toolkit for VCFs

Structural variant toolkit for VCFs. Contribute to ACEnglish/truvari development by creating an account on GitHub.

github.com

Great to see that sawfish, our new HiFi SV caller, is accepted for publication in Bioinformatics! Sawfish emphasizes local haplotype modeling to improve SV representation and genotyping in both single and joint-sample analysis. Advance-access article now available: (1/n) doi.org/10.1093/bioi...

Sawfish: Improving long-read structural variant discovery and genotyping with local haplotype modeling

AbstractMotivation. Structural variants (SVs) play an important role in evolutionary and functional genomics but are challenging to characterize. High-accu

doi.org