Qiyun Zhu
Assistant Professor @ ASU | Studying #microbiome, #evolution, #bioinformatics, #multiomics | Developing scikit-bio (https://scikit.bio) | Open-source enthusiast
- 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
- 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
- Link to the full-text article: rdcu.be/eUcOO
- Excited to have our new paper on phylogenetic marker genes online!
- Reposted by Qiyun Zhu[Not loaded yet]
- 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
- (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,...
- Reposted by Qiyun Zhu[Not loaded yet]
- Reposted by Qiyun Zhu[Not loaded yet]
- 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...
