Scientific Editor @CellCellPress | Formerly @Stevens1lab | Interested in Alzheimer’s disease, all things single cell | Dad 👧👶🏻 | #scicomm | NEU ‘10 & UCI ’16

Boston, MA
Joined February 2013
Samuel Marsh, Ph.D. retweeted
1/8 We learned what kinds of neurons are in the brain with Drop-seq, and where they are located with Slide-seq/tags. But what about their synaptic anatomy?
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Samuel Marsh, Ph.D. retweeted
2/8 Introducing Synapse-seq: our AAV-based tool for mapping brainwide presynaptic projections or postsynaptic distributions of molecularly-defined neurons, via protein-guided RNA barcoding & single-cell/spatial readouts: doi.org/10.64898/2026.02.26.…
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Samuel Marsh, Ph.D. retweeted
🚨 We're hiring! 🚨 The Morris Lab @BrighamWomens & @harvardmed is looking for a Research Technician to join our team! 🔬 Focus: Lineage reprogramming & genomic tech development 🧫 Skills: Molecular biology, cell culture, mouse work 📍 Boston, MA tinyurl.com/ydbjrecz
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Samuel Marsh, Ph.D. retweeted
Our #bionformatics #Rstats method CRAWDAD (Cell-type Relationship Analysis Workflow Done Across Distances) for quantifying cell-type spatial relationships in #singlecell #spatialomics data is now published! nature.com/articles/s41467-0… Congrats to the team 🥳🥂 #AcademicTwitter
Have you ever wondered what cell types are colocalized or separated? If these relationships change across scales? Or if we could use them to compare samples? Check out CRAWDAD, our package for analyzing cell-type spatial relationships across length scales! nature.com/articles/s41467-0…
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🚨 scCustomize v3.0.0 is released! 🚨 Lots of changes (see thread for highlights and changelog for full details). Thanks as always to everyone who has submitted bug reports or suggestions and thanks to everyone using the package!! Enjoy!😀💻🧬📈 cran.r-project.org/web/packa… 1/n
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As always there are a ton of bug fixes in this update here too. Thank you to everyone who has report issues on GitHub! There’s more in this update too besides these highlights so check out changelog for full details!! 19/n
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Finally, as always, I want to thank everyone who uses scCustomize. I could never have imagined it would be adopted & used by some many people & it’s really fantastic every time I read paper or see plot that was made using scCustomize. Happy single cell analysis!!! 💻📈🧬 20/20
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