Single-cell genomics and data viz enthusiast | Former Postdoc @ Harvard SCRB / Broad Institute w/ Buenrostro Lab
Very happy to share the results of a great collaboration between @hovestadt.bsky.social and Griffin Labs, I co-led with @sbenfatto.bsky.social, published today in @natgenet.nature.com
📄 www.nature.com/articles/s41...
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Very happy to share the results of a great collaboration between @hovestadt.bsky.social and Griffin Labs, I co-led with @sbenfatto.bsky.social, published today in @natgenet.nature.com
📄 www.nature.com/articles/s41...
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Grateful for the excellent primer by Christopher Bock and Eugenia Pankevich: www.nature.com/articles/s41...
Grateful for the excellent primer by Christopher Bock and Eugenia Pankevich: www.nature.com/articles/s41...
It ran on our hometown NPR station KQED and about 200 other @npr.org affiliates.
It ran on our hometown NPR station KQED and about 200 other @npr.org affiliates.
“Morphological map of under- and over-expression of genes in human cells”
This is the genetic perturbation portion of the JUMP’s dataset; our chemical perturbation paper will come in a few months
www.biorxiv.org/content/10.1...
“Morphological map of under- and over-expression of genes in human cells”
This is the genetic perturbation portion of the JUMP’s dataset; our chemical perturbation paper will come in a few months
www.biorxiv.org/content/10.1...
Excited to share our work @science.org. led by our incredible @tommyz626.bsky.social at @rockefelleruniv.bsky.social! By profiling 21 million single cells across life stages, we reveal aging as distinct, development-like transitions, with dramatic cell population changes in specific time windows!
Excited to share our work @science.org. led by our incredible @tommyz626.bsky.social at @rockefelleruniv.bsky.social! By profiling 21 million single cells across life stages, we reveal aging as distinct, development-like transitions, with dramatic cell population changes in specific time windows!
www.nature.com/articles/s41...
biorxiv.org/cgi/content/...
Read more below!
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