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My first
#rstats package
ggpointdensity is now on #CRAN
. It provides a #ggplot2 geom that is a cross between a 2D density plot and a scatter plot: geom_pointdensity(). Useful to deal with overplotting without hiding outlier points. https://git.io/fjhvG pic.twitter.com/2AspdGU4wz
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Lukas PM Kremer Retweeted
Our latest preprint is up on
@bioRxivpreprint
We show at #SingleCell resolution that 3´UTR landscape is modulated throughout#neuronal lineage and is altered in#ASD.https://www.biorxiv.org/content/10.1101/2020.08.12.247627v1 …Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
Just put the first paper of my PhD on bioRxiv

https://www.biorxiv.org/content/10.1101/2020.08.13.249623v1 …
{{glmGamPoi}} an R package to fit Gamma-Poisson GLMs on large scale single cells data with support for on-disk data. Code is available on Github: https://github.com/const-ae/glmGamPoi …pic.twitter.com/2ccdXIuTRJ
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Lukas PM Kremer Retweeted
Simplified COVID-19 testing using isothermal amplification (LAMP): easier to perform, even without expensive lab equipment, and very scalable. See our new paper (with
@knoplab and VL Dao Thi) in Science Translational Medicine.https://doi.org/10.1126/scitranslmed.abc7075 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
Happy to announce our review about ancient bacterial DNA is finally out!
@MicrobioSoc | https://www.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.000384?originator=authorOffprint&identity=179100×tamp=20210629165943&signature=c0776bea3d8e33c3667743a5a1ce6196 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
Want to work with us on large-scale testing for Covid19?https://twitter.com/LabKnop/status/1277579075058622464 …
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Lukas PM Kremer Retweeted
How to judge distances in single-cell data? Our paper on "Sleepwalk" has now appeared in Genome Research (since the preprint now with a thoroughly revised Discussion). https://genome.cshlp.org/content/30/5/749 …
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Lukas PM Kremer Retweeted
A petition to the presidents of the European Council, Parliament and Commission to protect the European Research Council (ERC) in the EU budget https://friendsoftheerc.w.uib.no You can co-sign viahttp://chng.it/25wTWWgw
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RT-LAMP is a much simpler alternative to the standard
#SARSCoV2/#COVIDー19 test. It was exciting to analyze hundreds of patient samples to evaluate how this test assay performs in a clinical setting!https://twitter.com/s_anders_m/status/1259849122812755968 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
I am excited to announce two new R packages

{{glmGamPoi}} an efficient implementation of the Gamma-Poisson for single cell data
https://github.com/const-ae/glmGamPoi …
{{sparseMatrixStats}} implementation of the matrixStats API for sparse Matrices
https://github.com/const-ae/sparseMatrixStats …
#rstats#biocpic.twitter.com/6CnXovrh3r
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Lukas PM Kremer Retweeted
FOR IMMEDIATE RELEASE & USAGE: "A Massively Parallel COVID-19 Diagnostic Assay for Simultaneous Testing of 19200 Patient Samples" Protocol at https://docs.google.com/document/d/1kP2w_uTMSep2UxTCOnUhh1TMCjWvHEY0sUUpkJHPYV4 …. Primers & Spike-in Controls at https://docs.google.com/spreadsheets/d/1y_Bf0Zz4FJRx53oSkX59u0kfouDOdrtr8E26M5NINFs …pic.twitter.com/cDm4kdaNU6
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Lukas PM Kremer Retweeted
Das Robert-Koch-Institut sucht dringend Studenten, die den örtliche Gesundheitsbehörden helfen, Kontakte von Covid19-Infizierten nachzuverfolgen: https://www.rki.de/DE/Content/Service/Stellen/Containement_Scout_.pdf?__blob=publicationFile …
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Big time saver when working with sparse matrices in R. Fast drop-in replacements for common matrix functions like colSums() and rowMeans().
#singlecell#rstatshttps://twitter.com/const_ae/status/1179380636534083586 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
Once you see several sub-populations in your single-cell data, what next? Derive markers from scRNA-Seq data to distinguish the sub-populations by flow cytometry when characterizing them in follow-up experiments. (1/2)
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Lukas PM Kremer Retweeted
Doctor Kalamakis!
@kalagio1007 Hearty congratulations on the successful PhD defense, very well deserved!

Check his work on neural stem cells in the aging brain published earlier this year @CellCellPress https://twitter.com/molneurolab/status/1101490387468857345?s=19 …pic.twitter.com/XqPwJEjrqj
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Lukas PM Kremer Retweeted
Our paper is out! Enjoy reading
#dkfz@molneurolab 3D Cellular Architecture Modulates Tyrosine Kinase Activity, Thereby Switching CD95-Mediated Apoptosis to Survivalhttps://www.cell.com/cell-reports/fulltext/S2211-1247(19)31368-3#.XdUiklmbcjg.twitter …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
Sleepwalk and Linked Charts - cool new tools from
@s_anders_m lab! Very interesting perspective on relatedness of cells and covariance of gene expression from Lukas Kremer’s talk#cshlsca#singlecelltoolsThanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
No.7 FIRMS information was mapped from Earth Observation Data provided by @NASAEarthData. Shows the location and density of fires in Brazil
observed in 2018.
Code: https://github.com/uribo/30DayMapChallenge/blob/master/day7.R …
Thanks
{ggpointdensity} by @LPMKremer :)#rspatial#30DayMapChallengepic.twitter.com/kAHDyqr0NC
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Lukas PM Kremer Retweeted
Understanding UMAP - an interactive introduction to the algorithm and how to us (and mis-use) it from
@_coenen and@adamrpearce . A must read for anyone interested in dimension reduction.https://pair-code.github.io/understanding-umap/ …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Lukas PM Kremer Retweeted
How to deal properly with missing values in LFQ-MS? Get more statistical power with *proDA*, our new "DESeq for mass spec", developed by
@const_ae.https://www.biorxiv.org/content/10.1101/661496v1 …Thanks. Twitter will use this to make your timeline better. UndoUndo
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