Mark

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Mark

@Sanbomics

I make colorful bubbles

Chicago Katılım Mart 2021
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Mark
Mark@Sanbomics·
RNAseq counting tools are not perfect. I simulated 240 GTEx samples to test multiple tools. Below I show the difference between actual and estimated counts for each simulated sample. But, what is causing this? And will it affect differential expression? (1/7) #Bioinformatics
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Mark@Sanbomics·
@JohnHolbein1 Not really sure this means what you think. E.g. if someone shows a plot with only differentially expressed genes, the z scores will be shifted to the left and right. Nobody wants to see a heatmap with 20k rows
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John B. Holbein
John B. Holbein@JohnHolbein1·
Look at the distribution of z-values from medical research!
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scverse
scverse@scverse_team·
anndata 0.12 is out now! We have lots of great features that we hope address some persistent needs. Here are some of the highlights!
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Mark@Sanbomics·
We show that muscle vasculature loss precedes cancer cachexia and identify PGC1α and INHBA as causal factors. This was a huge effort with several models, clinical biopsies, massive amounts of imaging, sequencing, bioinformatics, and much more. nature.com/articles/s4301…
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Mark@Sanbomics·
@JDVance How many hearings has Trump had? Maybe we should deport him.
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JD Vance
JD Vance@JDVance·
Call me crazy but if you got two hearings and a valid deportation order then you shouldn’t be in the United States.
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Mark@Sanbomics·
@iaincheeseman Didn’t it arise from an endosymbiosis between archaea and bacteria? Is the host cell a bit anachronistic in this graphic? Not my expertise area, but I did just read some Nick Lane 😅
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Iain Cheeseman
Iain Cheeseman@iaincheeseman·
New preprint countdown! Mitochondria are cells within our cells. They need the same core activities - replication, transcription, translation. How do cells enable these diverse activities in both compartments? We uncover an unexpected strategy with ancient origins. Stay tuned!
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Mark@Sanbomics·
@wc_ratcliff Unfortunately still get 100x more engagement here on some posts. Waiting for a day this isn’t the case and I can be gone forever.
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Will Ratcliff
Will Ratcliff@wc_ratcliff·
Scientists, is it even worth the effort to post here anymore? For comparison, my twitter post about two recent big papers got a whopping 5 likes. My post at the other place got a lot of community engagement. Either the community here is dead, or algo attention is pay to play.
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Fabian Theis
Fabian Theis@fabian_theis·
1/: Excited to share our new study led by Luke Zappia on feature selection methods for single-cell RNA-seq data, now published @naturemethods ! We explore how choosing features impacts reference atlases & downstream analyses. 📊📚 nature.com/articles/s4159…
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Mark@Sanbomics·
@Ella_Maru I think this depends on the disease quite a bit. Maybe in chronic disease but not acute
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Ella Marushchenko
Ella Marushchenko@Ella_Maru·
@Sanbomics Congratulations Mark! Is senescence-driven inflammation a stronger disease trigger than cell loss?
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Mark@Sanbomics·
Senescent cells contribute to disease and are found in many tissues but are hard to analyze because markers have been derived in culture and do not account for cell-type differences. Here, we define new signatures based on millions of single cells (1/5) nature.com/articles/s4146…
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Mark@Sanbomics·
There are three primary ways to use SenePy: 1) as an input list in any tool that takes a gene list, such as gene set enrichment. 2) senescence scoring directly on single-cell data. 3) Database to search for senescence markers in a specific cell type. (5/5)
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Mark@Sanbomics·
In addition to aging, SenePy is widely applicable in many disease contexts. We show how it can be applied to cancer, heart disease, and infection. Here is an example of senescent-like foci in infarction spatial data (4/5)
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Mark@Sanbomics·
@dna_rosenberg Parse is great and cheap but still many reasons to do bulk. To sequence 5M cells at 20k reads/cell requires at least 10 S4 flow cells. That’s at least ~150k USD. Of course you don’t need to do all 5M but still need >10k reads per cell if you care about quality
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Alex Rosenberg
Alex Rosenberg@dna_rosenberg·
Time to go big on your single cell experiments! 5M cells and 384 samples in a single experiment. No reason to ever do bulk RNA-seq again.
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Mark@Sanbomics·
@nomad421 Still waiting for the promised day one reduction in grocery prices
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Mark@Sanbomics·
@TedNugent You own a store. Your store gets robbed. Elon, out of his mind on ketamine, sh*ts on the floor and incoherently blames the delivery man with proof he scribbled on a napkin. You believe him. Your store goes bankrupt. You’re an idiot.
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Mark@Sanbomics·
@DaleStarkA10 Bro doesn’t know what the House of Representatives is
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