Official Twitter of the Salzman research group at Stanford Biomedical Data Science
Stanford, CA
Joined June 2017
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3. Development of NOMAD2, which enables reference-free biological discovery at unmatched scale and speed. In collaboration with @sdeorowicz and @marekkoki, led by @marekkoki and @roozbehdn, this package is publicly available on github: github.com/refresh-bio/R-NOM…
2. Design of a novel statistical test on contingency tables, OASIS, which provides interpretable and finite-sample valid rejection of the null, enabling reference-genome and metadata free strain detection in biological applications. Led by @TBaharav: biorxiv.org/content/10.1101/…
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1. Detection of regulated RNA processing in spatial transcriptomic data, led by @julia_olivieri_ biorxiv.org/content/10.1101/…
Very excited that our paper on the SICILIAN pipeline for robustly identifying splice junctions from scRNA-Seq led by @roozbehdn and @julia_eve_olivieri_ is out in @GenomeBiology! genomebiology.biomedcentral.…
Excited to share our new method to study splicing in scRNA-seq experiments, the SZS! We use the resulting cell x gene splicing matrix to find new cell-type-specific splice patterns and splicing changes correlated with spermatogenesis
The SZS is an efficient statistical method to identify regulated splicing events in droplet-based RNA sequencing biorxiv.org/cgi/content/shor… #bioRxiv
Congratulations @julia_olivieri_ for winning second place in Stanford's Art of Science showcase for crocheting hyperbolic planes!
Goodbye @raungar and @yiraneliu, thanks for the great rotations! And thanks to @mitoRibo for making this amazing graphic to finish the quarter
Welcome to our winter rotation students @raungar and @yiraneliu! They're already making the quarter more fun
