#biodata24

And a few of my reflections on the meeting. Im very curious to hear what you all thought - What did I miss? #biodata24

Two conferences in two weeks! Also got to celebrate my birthday in NYC. A very fruitful November
#schldata24 #biodata24

Thanks to all the speakers, session chairs, presenters and attendees. Thanks for a fantastic conference!!!!!!!!!!! See you back at CSHL for #biodata26 on November 3-7, 2026! #biodata24

Had a fantastic time last week at CSHL's #biodata24, with amazing discussions around AI and bioinformatics and presenting my work on CellWhisperer.
Thanks @mike_schatz and all organizers, looking forward to being back in 2026!

Courtesy #biodata24 I had my first-ever #lobster experience. It was interesting.

#seafood #scienceconference #cshl

Science is cool from CSHL

Thank you #biodata24! I really enjoyed all the scientific talks and can’t wait for the next one #biodata26! 3yo approves 😃

I had a great time at the CSHL Biological Data Science Conference - it was my second time. Great talks, science, conversations, connections ... a must-attend conference for bioinformaticians/computational biologists/biostatisticians. #biodata24

Interesting talk by Benjamin Parks at #biodata24, showing how creative ideas in data compression improves performance of single cell analysis github.com/bo1929/krepp
deployed in Seurat satijalab.org/seurat/articles/seurat5_bpcells_interaction_vignette achieving 3-60x speedup vs SnapATAC2 #cshldata24

Kinnary Shah presenting a poster at CSHL Biological Data Science 2024

Fantastic poster from @kinnaryshah.bsky.social tonight at #biodata24! She developed the spoon package to correct for the mean variance relationship in #spatial transcriptomics data

#ProudPI #stats 🖥️🧬🧪🧠📈

Preprint: www.biorxiv.org/content/10.1...

Software: www.bioconductor.org/packages/spoon

Cindy Fang presents her work at CSHL Biological Data Science

Congratulations to @findycang.bsky.social from @jhubiostat.bsky.social who did an amazing job presenting her work at #biodata24 tonight! Preprint coming soon. ☺️

#ProudPI #stats #spatial #omics #transferlearning 🧪🧬🖥️🧠📈

Great talk by Katharine Jenike at #biodata24 on investigating paralog evolution in tomato and eggplant using a pangenomic approach, revealing widespread introgressions and paralog diversification www.biorxiv.org/content/10.1... Amazing synteny viz with github.com/jtlovell/GEN... #cshldata24

Sparse matrix factorization of GWAS summary statistics robust to sample sharing improves detection and interpretation of factors with diverse genetic architectures Complex trait-associated genetic variation is highly pleiotropic. This extensive pleiotropy implies that multi-phenotype analyses are informative for characterizing genetic variation, as they facilita...

Check out our new work led by @ashton_omdahl discussing matrix factorization across GWAS, accounting for sample overlap. Factors with varying polygenicity, enrichment for cell type / developmental stage... Ashton is speaking at #biodata24 today! www.biorxiv.org/content/10.1...

SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark - Genome Biology Long-read RNA sequencing has emerged as a powerful tool for transcript discovery, even in well-annotated organisms. However, assessing the accuracy of different methods in identifying annotated and no...

Cool idea of universal single-isoform genes (BUGSI) to assess RNA data as part of SQANTI ecosystem. Great talk by Ana Conesa at #biodata24
SQANTI-Sim: link.springer.com/article/10.1186/s13059-023-03127-0 SQANTI3 for quality control long-read transcriptomes github.com/ConesaLab/SQANTI3 #cshldata24

Home A scalable framework for automatically indexing microbial genomes and accurately characterizing metagenome-assembled genomes with Sequence Bloom Trees - cumbof/MetaSBT

Great talk by Fabio Cumbo from Cleveland Clinic at #biodata24 on MetaSBT for characterizing microbial genomes via hierarchical structure of sequence bloom trees. The ability to update the index and adding new genomes is amazing! github.com/cumbof/MetaS... #cshldata24