Ian Mellis

@ianmellis.bsky.social

host-virus interactions, gene regulation and genetic engineering, gene and cell therapies | transfusion medicine and virology @columbiauniversity https://mellislab.org/

Excited to share that our lab (mellislab.org) is recruiting postdocs to join us at Columbia University! We welcome graduating PhDs from a variety of disciplines who are interested in antiviral immunity, virus evolution, gene and cell therapies, or quantitative biology in general. Link below!

Excited to share a job opportunity to work with me and colleagues at Columbia! If you or someone you know would like to be a Research Technician/Assistant working at the interface of molecular systems biology, virology, immunology, and gene and cell therapies, please reach out! (Links below)

Highly productive and innovative group doing elegant quantitative bio spanning theory, experimental and computational methods, and actual applications. If you're interested in a postdoctoral position studying cancer, development, or single cell biology, reach out to Yogesh!

Yogesh Goyal@goyallab.bsky.social · 11mo ago

**POSTDOC POSITION** My lab (www.goyallab.org) at Northwestern and CZ Biohub Chicago looking for a postdoctoc in quantitative biology. We work on a range of topics, including single-cell cancer plasticity, modeling single-cell perturbations, theory, and stem-embryo models. contact via email. Pls RT

New preprint! With PureTarget we achieved >1000× coverage of targets with ~5kb PacBio reads at QV39. This enabled high-resolution analysis of CRISPR-Cas9 outcomes Key finding: Some CRISPR-mutations may only emerge in the second generation, due to germ cell mosaicism www.biorxiv.org/content/10.1...

Accurate characterization of CRISPR-Cas9 genome editing outcomes and mosaicism with near-perfect long reads

Background: Genetic mosaicism is a consequence of CRISPR-Cas9 genome editing that is difficult to study, especially when it involves structural variants occurring at low frequency. A comprehensive ana...

biorxiv.org

Excited to share our latest by my postdoc Ben KS: we use statistical physics & Bayesian inference to model genome-wide perturbation outcomes. Remarkably, perturbation responses are encoded in gene "chatter" even before the perturbation–a fundamental insight with broad implications shorturl.at/2LHbw

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I'm stoked to have this long-term and highly collaborative effort out in the wild. We present an experimental evolution system to quantitatively study the rapid evolutionary dynamics of B-cell affinity maturation. These evolutionary mechanisms underpin antibody responses and immune memory formation.

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Gabriel Victora@victora.bsky.social · last yr.

Wanted to highlight our latest preprint--a huge effort by multiple people and labs, but led primarily by @wsdewitt.github.io, Tatsuya Araki, and Ashni Vora, in a very close wet-dry collaboration with @matsen.bsky.social’s lab at the Hutch www.biorxiv.org/content/10.1...