Principal Computational Biologist @ MSKCC 🧬💻 PhD in CS from UC Irvine

NV CA NY
Joined December 2012
Nicholas Ceglia retweeted
Our initial set of cell models all have cards, tutorials, notebooks + demo datasets to make understanding & running them easier. #AIML researchers can also access the source & processed data to train & validate new models with less data wrangling czi.co/3ZkysJh
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Nicholas Ceglia retweeted
Happy to announce that PERT is now published in @NatureComms ! With PERT, we explore replication timing variability (Fig 3-4), chrXi reactivation (Fig 5), and how S-phase fractions struggle to approximate clone fitness (Fig 6). nature.com/articles/s41467-0… 1/n
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Nicholas Ceglia retweeted
We posted a couple of preprints recently, quick summary below 👇
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Dr. @ivazquezgarcia spoke at a major symposium about evolutionary dynamics of whole-genome doubling in #ovariancancer at #AACR24. Learn more: bit.ly/3VUiA07
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Nicholas Ceglia retweeted
The choice of whether to use Seurat or Scanpy for single-cell RNA-seq analysis typically comes down to a preference of R vs. Python. But do they produce the same results? In biorxiv.org/content/10.1101/… w/ @Josephmrich et al. we take a close look. The results are 👀 1/🧵
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Nicholas Ceglia retweeted
Featured today by @MSKLibrary: Identification of transcriptional programs using dense vector representations defined by mutual information with GeneVector dx.doi.org/10.1038/s41467-02… @nceglia @fuhlitz @AndrewChowMDPhD @GreedyApple @farhia_kabeer @sajraparicio @bengrbm @SohrabShah
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Our MSK scientists are much more than white coats in a lab. From postdocs to interns to faculty, hear why these brilliant scientists joined the field, and share your own reason below! #IAmAScientist
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Nicholas Ceglia retweeted
Alumni Spotlight: Peter Sadowski Sadowski earned his Ph.D. in CS from UCI’s School of ICS. He is now an associate professor of information and computer sciences at the University of Hawaii at Māno leading the AI Precision Health Institute. Read: bit.ly/3Z0lqQK #uciics
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Extremely pleased that my joint work with amazing collaborators @dewolf_susan, @DrMvandenBrink and @tsonipeled came out yesterday in Science Translational Medicine, about TCR repertoires in tissue samples in GVHD patients and mouse models of GVHD.
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Nicholas Ceglia retweeted
Interested in DNA replication and genomic instability? Our new method PERT identifies S-phase cells and estimates replication timing from single cell whole genome sequencing (scWGS) data with heterogeneous copy number biorxiv.org/content/10.1101/… 1/10
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Nicholas Ceglia retweeted
Excited to see our In Focus article published in this month's issue of @CD_AACR! If you are interested in reading about the utility of multiplexed protein imaging and the needs for clinical implementation of these technologies, give this a read: aacrjournals.org/cancerdisco…
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Very excited to share that I recently started my lab in @CompOncMSK at @MSKCancerCenter! Looking for postdocs and graduate students interested in cell fate decisions/cancer evolution/computational single-cell genomics. Come join us in NYC! Spread the word & please #RT. Thanks!
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The results of different methods applied to the same scRNA-seq data differ substantially. This is true even for fold changes, as shown below for Seurat and Scanpy. The differences between selected transcript "markers" are even larger: biorxiv.org/content/10.1101/… via @davisjmcc
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