Charlie Roco

108 posts

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Charlie Roco

Charlie Roco

@CharlieRoco

CTO and cofounder @ParseBio. Co-developer of single cell combinatorial barcoding method SPLiT-seq. Making genomics more scalable, flexible, and accessible.

Seattle, WA Beigetreten Ekim 2016
854 Folgt1K Follower
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Hannah Hrncir
Hannah Hrncir@HannahHrncir·
So excited to work with @ParseBio to share my work studying the role of Sox9 in promoting branching morphogenesis in mouse intrahepatic bile ducts (IHBDs). I will highlight how Parse scRNA-seq enabled discovery of a target to rescue IHBD branching in mice lacking Sox9.
David Hamm@DHsinglecell

Hannah Hrncir of @graczlab – Emory shares her recent work on the genetic controls of biliary duct formation. The pictures of these complex branching structures will amaze you, they’re beautiful. Virtual Live Webinar: May 1, 9:00 AM PST resources.parsebiosciences.com/sox9-links-bil…

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Parse Biosciences
Parse Biosciences@ParseBio·
Are you attending #ASHG23? Don't miss our featured education session with Rahul Satija (@satijalab) from the New York Genome Center. Lunch will be provided for the first 50 attendees.
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Daniel V Brown
Daniel V Brown@dvbro0·
Happy to present our new preprint! We ran a head-to-head comparison of sample multiplexing reagents for single-cell RNA-Seq on the same samples on the same day. 1/9 biorxiv.org/content/10.110…
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Charlie Roco
Charlie Roco@CharlieRoco·
Big thanks to @ToonSwings and the entire #RNGS23 organizing committee for inviting me to represent @ParseBio in beautiful Ghent! What a great conference - hope to be back again soon!
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Charlie Roco
Charlie Roco@CharlieRoco·
@nomad421 @mikelove Looks like this paper from 2016 had the same conclusion rnajournal.cshlp.org/content/22/6/8… "For future RNA-seq experiments, these results suggest that at least six biological replicates should be used, rising to at least 12 when it is important to identify SDE genes for all fold changes."
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Charlie Roco retweetet
Alex Rosenberg
Alex Rosenberg@dna_rosenberg·
1/ We previously generated a 1M cell scRNA-seq dataset with 24 Type1 Diabetes/Control PBMC samples. Now Daniel Diaz, one of our Bioinformatics Application Scientists, has built a tutorial showing how you can easily analyze this dataset using existing single cell tools.
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Parse Biosciences
Parse Biosciences@ParseBio·
You can now do a deep dive into our 1 million cell T1D dataset! It was generated from 24 samples fixed over the span of 3 weeks and barcoded all together in a single run. The donor data was integrated with Harmony to generate the UMAPs. #singlecell hubs.la/Q01gTVjX0
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Jeremy Simon
Jeremy Simon@jeremy_m_simon·
FYI this vignette has now been updated with some of our more recent recommendations for handling SPLiT-seq/ParseBio data with {alevin-fry}. Namely: it's important to quantify in U+S+A mode with a splici reference, and properly import all those counts into R with {fishpond}
Jeremy Simon@jeremy_m_simon

Happy to share a little side effort in collaboration with @gshrma_ @nomad421: you can now analyze SPLiT-seq (or @ParseBio) scRNA-seq data using alevin-fry! combine-lab.github.io/alevin-fry-tut…

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Tyler Alban
Tyler Alban@TylerAlban1·
First mega kit through @ParseBio and the sub library looks great after sequencing! So convenient to run sub libraries and know what’s going on before the big run. Estimating close to 900k cells for this exp!! Looking forward to the final results but so far so good.🤞🏼
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Charlie Roco
Charlie Roco@CharlieRoco·
@Al__Forrest Likewise, it was great to learn more about all of your work!
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Entdecken

@ParseBio @satijalab @S2Genomics @ToonSwings @nomad421 @mikelove @jeremy_m_simon @cgfbordeaux