Amit Upadhyay
@amitupadhyay85
ID: 752179748
12-08-2012 00:49:53
182 Tweet
59 Takipçi
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Beyond happy to share our immuneML platform, which streamlines your machine learning analyses on adaptive immune receptor repertoire data. It can be extended in all possible ways. Fantastic teamwork with the Geir Kjetil Sandve lab. Let us know what you think! airr_community 1/2
Thrilled to be giving a seminar on adaptive immune receptor data analysis in the airr_community and The Antibody Society Webinar Series. Sign-up link: antibodysociety.org/learningcenter… Tuesday April 6, 2021 8:00 – 10:00 PT/11:00 – 1:00 ET/5:00 – 7:00 CET
My airr_community/The Antibody Society webinar on immune receptor (BCR, TCR) data analysis is now available on-demand for free (including the slides and written answers to all webinar questions; also those we did not have time to answer during the webinar): antibodysociety.org/learningcenter…
Great work led by 🧍♂️ Philippe A. Robert and Milena Pavlović, and wonderful collaboration with Geir Kjetil Sandve lab.
Congrats to Corey Watson, Steve Bosinger and the Smith Lab team on our newly awarded R24! So much more (rhesus) #ighgenomics on PacBio coming your way!!
We used scRNA-seq + BCR data to show that patients with mild COVID-19 had increased frequencies of clonally-diverse, hypermutated memory B cells compared to patients with severe COVID-19 ~1 mo post-symptom onset. Steven Kleinstein 🖥 #Bcells #COVID19 jimmunol.org/content/early/…
Very happy that the 2nd paper from our collab with the Ballerini and Andreas Lossius labs is out today sciencedirect.com/science/articl…. We investigated TCR diversity in MS across CSF, brain, and peripheral blood. This work was co-led by Roberta Amoriello and Maria Chernigovskaya.
We just released CompAIRR – a tool that reduces greatly the longstanding computational bottleneck of identifying shared identical and similar sequences among large sets of immune repertoires. All the details/links are in the thread below. Feedback is very welcome! airr_community
We’re thrilled to finally share the integrated Human Lung Cell Atlas (HLCA), a single-cell reference atlas of 444 individuals, and 2.2M cells! biorxiv.org/content/10.110… Human Cell Atlas Here’s a tweetorial on how we built it, and, most importantly, how you can use it: (1/20)
1/ Absolutely thrilled to announce the publication of our research on modulation of type I interferon in rhesus macaques! Our work was accomplished through close collaboration with the Mirko Paiardini and has now been featured in Science Immunology. science.org/doi/10.1126/sc…