
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
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Thrilled to announce my 1st paper from @stevens1lab is now published @NatureNeuro. “Dissection of Artifactual and Confounding Glial Signatures by scRNA-seq of Mouse and Human Brain”. Why is it important? a 🧵👇 #singlecell #microglia #methodsmatter 1/n
nature.com/articles/s41593-0…
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?
Protein-guided RNA barcoding links transcriptomes to synaptic architecture biorxiv.org/content/10.64898… #biorxiv_neursci
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.…
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
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…
🚨 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
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!!
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