#cshldata24

Had such an enriching time at #cshldata24! I hope I convinced some of the bright minds there to think about applying their work and skills towards making sense of metabolomics data 🧪🤓

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

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

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

Super excited for start of Biological Data Science at Cold Spring Harbor Lab tonight! My first time as a co-organizer with @schatz and @catavallejos.
#cshldata24 🧬

Heading to Cold Spring Harbor to present a poster on benchmarking average nucleotide identity!
"ANI, are you OK? Challenges for k-mer-based estimation of evolutionary distances" at Biological Data Science #cshldata24 !

I'll have some fun(g,i) at #cshldata24 ✈️

Looking forward to #cshldata24 meeting starting tonight!

I will present #scE2G, a highly accurate model for mapping enhancer-gene regulatory interactions from single cell data. The model was developed in close collaboration with @jengreitz.bsky.social lab.

Who else is attending the meeting?