• 11–24× fewer suboptimal alignments (same for human genome)
• 3–579× lower inconsistency
• improves on ~30% of reads aligned to non-target species
github.com/mathjeff/map...
bioconda.github.io/recipes/x-ma...
#microsky
#microsky 🧪🧬🖥️🦠✨
www.cell.com/cell-host-mi...
#microsky 🧪🧬🖥️🦠✨
www.cell.com/cell-host-mi...
www.nature.com/articles/s41...
www.nature.com/articles/s41...
www.biorxiv.org/content/10.1... #microsky #microbiomesky 🧪🦠
www.biorxiv.org/content/10.1... #microsky #microbiomesky 🧪🦠
www-science-org.remotexs.ntu.edu.sg/doi/10.1126/...
www-science-org.remotexs.ntu.edu.sg/doi/10.1126/...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.cell.com/cell/abstrac...
www.cell.com/cell/abstrac...
Our bottom line stayed: never use leave-one-out cross-validation as it has inherent train-test leakage. Consider our Rebalanced version instead!
We now also account for regression and nested cross-validation, with more extensive benchmarking.
If you haven't registered yet, don't miss out on this exciting (free) symposium on gut microbial metabolites and their impacts on host health.
Please share with your networks. 🔗👇
isbscience.org/events/2025-...
If you haven't registered yet, don't miss out on this exciting (free) symposium on gut microbial metabolites and their impacts on host health.
Please share with your networks. 🔗👇
isbscience.org/events/2025-...
It builds on Boltz-1, an open-source model from MIT that predicts the 3D structures of biomolecular complexes with AlphaFold3-level accuracy 🧪✨ 🧬 & 🖥️
www.biorxiv.org/content/10.1...
It builds on Boltz-1, an open-source model from MIT that predicts the 3D structures of biomolecular complexes with AlphaFold3-level accuracy 🧪✨ 🧬 & 🖥️
www.biorxiv.org/content/10.1...
Predicting host- #phage interactions from genomics.
www.biorxiv.org/content/10.1...
Predicting host- #phage interactions from genomics.
www.biorxiv.org/content/10.1...
@sunyesf.bsky.social #microsky #concrete #builtenvironment
youtu.be/3JpbySeOO20?...
@sunyesf.bsky.social #microsky #concrete #builtenvironment
Non-engrafting donor E. coli + broad-host-range conjugation system + guide-RNA–directed targeting
www.science.org/doi/10.1126/...
#microsky #microbiomesky 🧪
Non-engrafting donor E. coli + broad-host-range conjugation system + guide-RNA–directed targeting
www.science.org/doi/10.1126/...
#microsky #microbiomesky 🧪
www.nature.com/articles/d41...
github.com/aqlaboratory...
#microsky #bioinformatics
🧪 🧬 🖥️ ✨
www.nature.com/articles/d41...
github.com/aqlaboratory...
#microsky #bioinformatics
🧪 🧬 🖥️ ✨
I wrote a short piece reflecting on the discovery and significance of this metric (and really enjoyed digging into the context and story behind it!) #microsky 🧬
I wrote a short piece reflecting on the discovery and significance of this metric (and really enjoyed digging into the context and story behind it!) #microsky 🧬
www.grc.org/microbiome-e...
www.grc.org/microbiome-e...