Chakravarthi Kanduri

1/12 🧵 Quick thread: a heads-up for anyone working with high-dimensional omics data and multiple testing — FDR correction can sometimes lie to you. A thread based on our recent publication in @GenomeBiology : doi.org/10.1186/s13059…

📢 We are announcing the Adaptive Immune Profiling Challenge 2025! Can you predict immune state labels from adaptive immune receptor repertoires? 💰 $10,000 prize pool! 🗓️ Launches tomorrow, Nov 5 on @kaggle! More info: uio-bmi.github.io/adaptive_immun…

📢 Announcing the Adaptive Immune Profiling Challenge 2025! Can you predict immune state labels from adaptive immune receptor repertoires? 💰 $10,000 prize pool! 📄 Top 10 teams co-author a @NatureMethods paper! 🗓️ Launches Nov 5 on @Kaggle More Info: uio-bmi.github.io/adaptive_immun…

12/12🙏 Thanks to all collaborators & co-authors for useful inputs, brainstorming and perspectives: Maria Mamica, Emilie Willoch Olstad, Ingrid Hobæk Haff, Manuela Zucknick, Jingyi Jessica Li @jsb_ucla , & Geir Kjetil Sandve @SandveGeir.

11/12 The bottom line: be aware of dependencies in your data! When false findings occur in highly correlated datasets, they can be numerous. Don't let your intuition fool you. Read the full open-access paper here: doi.org/10.1186/s13059…

1/12 🧵 Quick thread: a heads-up for anyone working with high-dimensional omics data and multiple testing — FDR correction can sometimes lie to you. A thread based on our recent publication in @GenomeBiology : doi.org/10.1186/s13059…

@jsb_ucla Congratulations Jessica 🎉

I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact.

Extremely pleased to share our new work in collaboration with the @Bruskolab lab where we leveraged one of the largest TCRbeta sequencing datasets to identify T1D-associated TCR-based signatures. Paper link and 🧵 are below. Incredible work led by @puneet021192.

Happy to share our new collaborative work! 🚨 We analyzed 2250 TCR repertoires to uncover how HLA risk alleles shape immune autoreactivity in T1D. T1D-specific HLA-motifs were also validated in sorted pancreatic lymph nodes (pLN) & spleen cohorts. 🧬🧵 #T1D #Immunology #TCR 1/9

🧵 Bioinformatics faces a critical challenge: despite its importance, software quality often falls short due to the lack of proper development practices. In our latest paper, we advocate for improving software quality in bioinformatics through teamwork. doi.org/10.1093/bioinf…

I'm super excited to share my latest paper "Predictability of antigen binding based on short motifs in the antibody CDRH3", now out in briefings in bioinformatics doi.org/10.1093/bib/bb…

BioNumPy: Fast and easy analysis of biological data with Python biorxiv.org/content/10.110…