David Hamm retweeted
One of the competitors to 10X Genomics $TXG in the #SingleCell field, @ParseBio reached 100 Publications using their EverCode technology, and 2000+ Labs Using Parse Globally. parsebiosciences.com/publica…
New Kits Are Democratizing Single-Cell RNA Sequencing genengnews.com/topics/omics/… via @GENbio
David Hamm retweeted
🤝We’re excited to announce an agreement with Colombia-based Gencell Pharma (@gencellco) to extend Parse’s reach in Colombia specifically and across South America.
Read the press release to learn more: parse.bio/3KYKlhl
#research #southamerica #colombia #partnership
David Hamm retweeted
🚀 We’re excited to launch our new single cell data analysis platform: Trailmaker.
Take your FASTQ files to publication-ready figures in just a few clicks, without the need to write a single line of code.
parse.bio/3KjlDIi
#Trailmaker #singlecell #dataanalysis #research
David Hamm retweeted
📢Interested in single cell projects using Parse combinatorial barcoding? Our bioinformatician, Cathal King sat down with @ParseBiosci to talk about his experience with Parse combinatorial barcoding and data analysis. Check out the interview: rb.gy/lr8w8w
David Hamm retweeted
🎉We’re cohosting a #singlecell symposium on June 6th at Stanford Medicine Research Park with @SingularGenomic, @MiltenyiBiotec, and @DeNovix. Space is filling up quick, so secure your spot now.
👉Register here parse.bio/44WGV7V
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.c…
David Hamm retweeted
Manuscript is now published in Genomics. Conclusions are unchanged but text and figures have been improved after peer review. A big thank you to my collaborators that made the study possible. doi.org/10.1016/j.ygeno.2024…
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/10.1101/…
David Hamm retweeted
Our next @cegs_ica Virtual Seminar (12PM on 4/16)
@carol_dalgarno & Longda Jiang use Perturb-seq+@ParseBio+@UltimaGenomics to perturb signaling regulators across cell lines & infer causal regulatory changes from scRNA-seq/spatial data.
Free registration: nygenome.zoom.us/meeting/reg…
David Hamm retweeted
Can’t wait to share more pretty images and awesome data revealing regulators of intrahepatic bile duct morphogenesis during my poster session at the @APSPhysiology Summit this Friday 5:15-6:05 (poster # P0753).
It was a difficult decision, but the results are in from our Pin It to Win It image contest!
Congrats to @HannahHrncir & her beautiful #microscopy of bile ducts!
#microscopymonday #liver #sciart @graczlab
ALT Hannah Hrncir Mouse left liver lobe intrahepatic bile ducts labeled with EpCAM and imaged in 3D with light sheet microscopy. The hierarchical nature of intrahepatic bile ducts with large ducts at the liver hilum that get smaller as they move towards the periphery is clearly illustrated. 'The tree of life'. Proper IHBD structure is essential to life.
Check out this great presentation by Saivageethi Nuthikattu at UC Davis on the mechanism behind the disruption of the blood brain barrier caused by diabetes, and how diabetes leads to brain damage. (resources.parsebiosciences.c…)
Details here:
sciencedirect.com/science/ar…
David Hamm retweeted
So, essentially the problem is that replicates are needed to estimate biological/technical error. Once you have this, “bulk” methods are very good. However, with commonly used “droplet” methods, replicates are expensive and prone to batch effects. But SPLiT-seq is multiplexable.
80 mph speed record for glacier fracture helps reveal the physics of ice sheet collapse washington.edu/news/2024/02/…
Good lord 'geology' can happen fast.
David Hamm retweeted
One million cells, One experiment.
📣Presenting our newest dataset: 1 million human PBMCs from 12 healthy donors using Evercode WT Mega v3. Explore the insights possible when single cell meets exponential scalability.
Leap into the dataset: parse.bio/48zrdQf
#singlecell
It's always exciting to see important work coming out of the application of Evercode, especially when basic biology meets translational medicine, and the results potentially having a real impact on patient treatment.
Check it out: nature.com/articles/s41467-0…
Another awesome customer dataset - a cell atlas of the amygdala and a teaser of more to come soon.
parsebiosciences.com/dataset…
David Hamm retweeted
Listen to @MIT student Talia Khan. Consider the risk she is taking by speaking truth to power.
The only answer is for Kornbluth to go now, before she has blood on her hands.
"This is the same climate of antisemitism that has led to the massacre of Jews throughout the centuries. This is not just harassment. This is our lives on the line." @MIT student Talia Khan highlights the rise of antisemitism at MIT.
David Hamm retweeted
5️⃣ things to consider when designing a single cell experiment.
Watch the full webinar here: parse.bio/45rgiXA
#singlecell #research #webinar
David Hamm retweeted
"The data quality that we've got back with [Evercode] is really excellent and actually the best my lab has generated to date."
- Prof. Dan Macqueen, Edinburgh University
Learn more and explore the data from this experiment: parse.bio/46Lkl24
An external head-to-head is awesome to see - we had no idea it was coming.
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/10.1101/…