I used to spend a week curating single-cell studies by hand. Now AI does it in 5 minutes. But this isn’t about job loss—it’s about leverage. Let me show you why every bioinformatician should embrace AI:

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences. While base R functions like summary(fit) work well for statisticians, they

how does PCA projection work? How do KNN and MNN for label transferring work in Seurat? A blog post on how I attempt to understand it at a low level. #singlecell #bioinformatics RT if you like it! https://t.co/3EvBoFQNCQ

Its gonna be a fun 4 years 😅

We are delighted to share our manuscript on our @UCSF_PROPEL program! We have accomplished so much over the last few years, and are evermore excited for new innovations and expansions of this model for equitable access to post-baccalaureate research!

How much fun it was to come back and chat with a great mentor and role model @clarklabucla1!! Can’t wait to see you again at @ISSCR this year, Madam President! #firstgengraduates

Dr. Sissy Wamaitha, a stem cell biologist in Dr. Clark's lab whose research interests center on mapping cell fates in early human development gave a captivating talk today for CRSHE's March Seminar Series! @clarklabucla1 @UCLA #reproductivescience

We are hiring an SRA! Could you be the next awesome member of our team? 🤓🥼🔬🧬🧫#neurovascular #organoid #germinalmatrixhemorrhage https://t.co/3IZ5BU2yLk

Travel Tips Thread! Many of you have reached out, asking me what company I used to plan my trips. I actually plan the vast majority entirely myself. So since so many of you seem curious, here’s how I do it: 1/

We’ll be wrapping up our conference weekend with our gala at the Luxe Hotel in Westwood! All conference guests are welcome to join in an evening of celebrating of our LMSA community and our graduating seniors. Buy tickets here: https://t.co/gufnSwmEHn

Really encourage all my Med student and Pre-med student friends to attend this incredible conference! There’s nothing like seeing a huge group of future Latinx doctors learning and teaching each other about the journey it took to get us here. #SiSePuede

We are working so hard to get a diverse group of med school and residency program exhibitors on top of an awesome line up of programming. You won’t want to miss out on this networking opportunity. Buy your tickets before we sell out!

Please think about submitting an abstract! All disciplines are open to apply and they are on rolling acceptances. It’s also a great way to get some funding from your institution to come join us at LMSA-West Conference!

Joining us for our regional conference in Los Angeles and need a place to stay? We got you covered! Secure your hotel reservation for the LMSA West Conference while supplies last! Group rates are available till March 21st. Link: https://t.co/CNBzr47N2c

snRNAseq + #Visium #SpatialTranscriptomics 👤spinal cord + L3-5 #DorsalRootGanglia 6♂️+ 3♀️donors vs🐭Spinal Cord #MotorNeuron sex difference Very informative paper, but still lack spatial resolution for microvessels ~3% total spots/nuclei @eLife 2024 https://t.co/I1HftxZEIt

Happy to share the peer-reviewed version!⛺️ Now including additional analyses of i) impact of celltype composition imbalance across samples, and ii) noise in celltype labels on integration performance. Thanks to reviewers & editor for constructive feedback https://t.co/DU0PGRLNnH

Great News: DeepVelo finally published in Genome Biology (@GenomeBiology)! 🎉 🙏❤️‍🔥 DeepVelo: Deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics In-press: https://t.co/LJDbuUFI57, #bioRxiv preprint (April 2022) : https://t.co/u62EOQrruR

If you are an R user and want to learn python

#ggkegg, an extension of #ggplot2 #R to visualize KEGG MODULE/PATHWAY https://t.co/bVxFSk8beW Compatible with bulk & scRNAseq & microbiome data Seiya Imoto lab Bioinformatics 2023 https://t.co/BnVxJQVKnA

🚨1/ New to CZ #CELLxGENE: models & embeddings that integrate up to 36M cells in the Census corpus. Use embeddings to explore the corpus directly, or download the models to run your own data through them to enable direct comparisons to the reference. 🧵 https://t.co/VILS665Gnl