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Qiyun Zhu

@zhuqiyun.bsky.social
132 followers 236 following 23 posts

Assistant Professor @ ASU | Studying #microbiome, #evolution, #bioinformatics, #multiomics | Developing scikit-bio (scikit.bio) | Open-source enthusiast

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Qiyun Zhu @zhuqiyun.bsky.social · 24/09/2026
Our Python rework of ANCOM-BC(2) in scikit-bio 0.7.4 puts this sophisticated method at the fast side of available microbiome differential abundance tests. scikit.bio/docs/latest/... #metagenomics #microbiome #bioinformatics
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Qiyun Zhu @zhuqiyun.bsky.social · 22/09/2026
We are proudly delivering scikit-bio 0.7.4 -- with Numba and GPU acceleration of PERMANOVA and Mantel, native Python-built ANCOM-BC2, much faster differential abundance tests, generic multiple sequence alignment, and more! github.com/scikit-bio/s... #bioinformatics #microbiome #omics
github.com
Release scikit-bio 0.7.4 · scikit-bio/scikit-bio
We are excited to announce scikit-bio 0.7.4! Release highlights: Added ancombc2, an efficient Python implementation of ANCOM-BC2 for differential abundance analysis, including post-hoc tests. Adde...
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Qiyun Zhu @zhuqiyun.bsky.social · 30/07/2026
(My) last human-written bioinformatics algorithm (maybe). A parallel balanced minimum evolution tree-building algorithm up to 82x faster than FastME. Crunches all GTDB bacteria (190k taxa) within 40 min. Better than NJ as data size gro ws. Preprint online: www.biorxiv.org/content/10.6...
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Qiyun Zhu @zhuqiyun.bsky.social · 28/07/2026
Proud to celebrate Henry Secaira-Morocho @hsecaira.bsky.social, my first PhD graduate at ASU! He has done outstanding research in evolutionary biology, computational biology and microbiome research. I'm excited to see him advance in his academic career at NLM. Congratulations, Henry!
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Qiyun Zhu @zhuqiyun.bsky.social · 03/06/2026
We've released scikit-bio 0.7.3: github.com/scikit-bio/s... with enhanced GPU support, a refreshed MMvec algorithm for multiomics co-occurrence and embedding, robust centered log-ratio transformation, accelerated minimum evolution phylogenetics, and more! #Bioinformatics #Microbiome #OpenSource
github.com
Release scikit-bio 0.7.3 · scikit-bio/scikit-bio
We are excited to announce scikit-bio 0.7.3! Release highlights: Implemented a global mechanism for supporting the Python array API standard and GPU computing. Added mmvec (Microbe-Metabolite Vect...
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Qiyun Zhu @zhuqiyun.bsky.social · 04/03/2026
scikit-bio is participating in #GSoC 2026 via NumFOCUS! We aim to modernize core bioinformatics algorithms to support GPU acceleration and interoperability across AI-ready libraries like JAX and CuPy. Details: github.com/scikit-bio/s... Contributors are welcome! #opensource #bioinformatics #python
github.com
scikit-bio at Google Summer of Code 2026 · scikit-bio scikit-bio · Discussion #2401
We are excited to announce that scikit-bio is participating in Google Summer of Code (GSoC) 2026 as part of the NumFOCUS umbrella organization. This year, we aim to modernize fundamental bioinforma...
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Lior Pachter @lpachter.bsky.social · 19/02/2026
This MCP server for edgePython should be useful for anyone building (comp)bio agents: github.com/pachterlab/e...
github.com
GitHub - pachterlab/edgePython: edgePython is a Python implementation of the Bioconductor edgeR package for differential analysis of genomics count data. It also includes a new single-cell differentia...
edgePython is a Python implementation of the Bioconductor edgeR package for differential analysis of genomics count data. It also includes a new single-cell differential expression method that exte...
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Qiyun Zhu @zhuqiyun.bsky.social · 13/02/2026
scikit-bio 0.7.2 is out -- featuring multiple genetic distance metrics like JC69 and K2P, support for PHYLIP distance matrices, and optimized algorithms for condensed (triangular) distance matrices. Also enhanced ordination plotting. scikit.bio #Bioinformatics #Microbiome #OpenSource
scikit.bio
scikit-bio: Bioinformatics in Python — scikit-bio
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Qiyun Zhu @zhuqiyun.bsky.social · 12/02/2026
Introducing TM-Vec 2 and 2s -- protein language models for fast, accurate remote homology detection. Predict structural similarity from sequence alone. Major speedup, high accuracy, runs on regular hardware. Suited for proteome-scale clinical & environmental datasets. #deeplearning #bioinformatics
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Qiyun Zhu @zhuqiyun.bsky.social · 31/01/2026
We introduce a Python implementation of ANCOM-BC that is 100x faster than the original R code, while preserving statistical validity. Scales to much larger omics datasets and enables ML workflows with repeated inference (feature selection, sensitivity, stability, etc.) #Bioinformatics #Microbiome
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Qiyun Zhu @zhuqiyun.bsky.social · 11/12/2025
The scikit-bio paper in online in Nature Methods! Many thanks to our collaborators, community contributors and reviewers! We couldn’t have done it without you. www.nature.com/articles/s41... #Bioinformatics #OpenSource
nature.com
Scikit-bio: a fundamental Python library for biological omic data analysis - Nature Methods
Nature Methods - Scikit-bio: a fundamental Python library for biological omic data analysis
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Qiyun Zhu @zhuqiyun.bsky.social · 16/11/2025
Excited to have our new paper on phylogenetic marker genes online!
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Cameron Thrash @jcamthrash.bsky.social · 13/11/2025
Augmenting microbial phylogenomic signal with tailored marker gene sets www.nature.com/articles/s41... #jcampubs
nature.com
Augmenting microbial phylogenomic signal with tailored marker gene sets - Nature Communications
Marker genes used in microbial phylogenomics are limited to fixed gene sets selected from complete genomes. TMarSel is a flexible yet robust method for selecting any number of markers from genomes or ...
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Qiyun Zhu @zhuqiyun.bsky.social · 29/10/2025
ANCOM-BC in Python! scikit-bio 0.7.1 introduces a native implementation of this widely used differential abundance test. Same validated methodology, consistent results, and blazing fast! Scalable to very large datasets. Try it out: scikit.bio/docs/latest/... #Bioinformatics #Microbiome #OpenSource
scikit.bio
skbio.stats.composition.ancombc — scikit-bio 0.7.1 documentation
Perform differential abundance test using ANCOM-BC.
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Qiyun Zhu @zhuqiyun.bsky.social · 17/07/2025
(1/2) Announcing scikit-bio 0.7.0 (scikit.bio) -- A major upgrade for microbiome & multi-omics data science! Enhanced differential abundance testing, new sequence alignment engine, GPU-ready log-ratio transformations, scalable PCoA and PERMANOVA with binaries,...
scikit.bio
scikit-bio: Bioinformatics in Python — scikit-bio
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Seth Bordenstein @symbionticism.bsky.social · 23/03/2025
Skin bacteria are subject to dispersal and chance across 22 amphibian species, yet contemporary and historical contingencies (e.g., #phylosymbiosis) leave strong signatures in their microbiomes even at large geographical scales. doi.org/10.1111/mec....
doi.org
Blurred Lines Between Determinism and Stochasticity in an Amphibian Phylosymbiosis Under Pathogen Infection
Selection, dispersal and drift jointly contribute to generating variation in microbial composition within and between hosts, habitats and ecosystems. However, we have limited examples of how these pr...
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It's FOSS @itsfoss.bsky.social · 20/03/2025
A decade of waiting has led to this!
news.itsfoss.com
After a Decade of Waiting, GIMP 3.0.0 is Finally Here!
At last, GIMP 3.0 has arrived.
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Qiyun Zhu @zhuqiyun.bsky.social · 20/03/2025
Thrilled to share our new preprint on finer and flexible marker gene selection for microbial phylogenomics. Given any input genomes and an arbitrary number, it will find this number of useful markers. Effective with highly incomplete MAGs. www.biorxiv.org/content/10.1...
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Alexis Stamatakis @stamatak.bsky.social · 19/03/2025
Check out raxtax, our new open-source tool for taxonomic classification of barcoding sequences, it's 2.7-1000 times faster than competing tools and also implements fancy uncertainty scores: www.biorxiv.org/content/10.1...
biorxiv.org
raxtax: A k-mer-based non-Bayesian Taxonomic Classifier
Taxonomic classification in biodiversity studies is the process of assigning the anonymous sequences of a marker gene (barcode) to a specific lineage using a reference database that contains named seq...
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Jaebeom Kim @jbeom.bsky.social · 13/03/2025
Metabuli App preprint is out! 💻Taxonomic classification & interactive visualization—right on your laptop 🛠️Create new databases or update existing ones with new sequences. 🧵1/5 github.com/steineggerla... www.biorxiv.org/content/10.1101/2025.03.10.642298v1
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Fabian Wittmers @fabianwittmers.bsky.social · 12/02/2025
Happy to see a large chunk of my PhD work published today in Cell Host&Microbe: www.cell.com/cell-host-mi... We conducted fluorescence-activated single-cell sorting of active predatory protists in the ocean and recovered symbionts with cool evolutionary positions close to animal pathogens.
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Andrew Roger @andrewjroger.bsky.social · 14/03/2025
I'm pleased to introduce our new paper rooting the eukaryote Tree of Life (eToL) that resulted from a collaboration led by PhD student Kelsey Williamson and a large group of collaborators doi.org/10.1038/s415...htt
doi.org
A robustly rooted tree of eukaryotes reveals their excavate ancestry - Nature
The root of the eukaryote Tree of Life is estimated from a new, larger dataset of mitochondrial proteins including all known eukaryotic supergroups, showing it lies between two multi-supergroup assemb...
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Rebecca Bollwitt @miss604.com · 03/03/2025
Thanks to @jay.bsky.team for writing the foreword for Bluesky for Dummies. We can’t wait until it’s out in the world. Pre-order now wherever you purchase books. Vancouver friends can order from independent shops like @bookwarehouse.bsky.social @crossandcrowsbooks.bsky.social @banyen.bsky.social
Screenshot of a book cover: Bluesky for Dummies (a Wiley Brand). There a photo of a butterfly on the left. In a purple circle there’s more text: “Build your profile on Bluesky
Find new friends and followers
Take full control of your feed.”
In the bottom right on a yellow background it lists authors as Eric Butow, Rebecca Bollwitt and a Foreword by Jay Graber, Bluesky CEO
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Will Ratcliff @wcratcliff.bsky.social · 19/03/2025
Awwww yeah, check this out: snowflake yeast making their cover debut! www.nature.com/nature/volum... We have two papers in this issue: 1) A paper examining whole genome duplication in the MuLTEE 2) A review of long-term experiments in evolutionary biology led by @jameststroud.bsky.social 🧪
A microscopy image of snowflake yeast on the cover of Nature, with the extended cells of two clusters barely touching in a manner reminiscent of Michelangelo's depiction of Adam touching God in the Sistine chapel.
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