@Enblacar

PhD student in Bioinformatics at @DKFZ. Obsessed with cool data visualisations. Currently working on #singlecell #rnaseq projects. #rstats #ggplot2

 Heidelberg, Germany
github.com/enblacar
Joined March 2022
  • Tweets23
  • Following63
  • Followers98
#SCpubr v2.0.0 is finally out on #CRAN! As a major version, you can expect lots of interesting and exciting changes! Have a look! github.com/enblacar/SCpubr/b… #rstats #ggplot2 #Seurat #DataViz #bioinformatics #SingleCellRNASeq
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SCpubr is now peer-reviewed and published! It is an R package that turns standard single-cell RNA-seq outputs in R into publication-ready figures with short function calls. On CRAN since 2022. Have a look! doi.org/10.1093/bioadv/vbag1… #scRNAseq #singlecell #bioinformatics #rstats

SCpubr: a user-friendly R-package for generating publication-ready visualizations of single-cell...

AbstractMotivation. Single-cell RNA sequencing (scRNA-seq) is now a core technology for resolving cellular heterogeneity in complex samples, and standard a

academic.oup.com
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I am pleased to announce that my work on #IDH_Gliomas using #SingleCell #RNASeq is out today in @CellRepMed! This paper showcases perfectly the use of #SCpubr to produce high quality figures for publication! 📜🧬🧠 Have a look! cell.com/cell-reports-medici… #dataviz #rstats #Seurat

Tumor heterogeneity and tumor-microglia interactions in primary and recurrent IDH1-mutant gliomas

Blanco-Carmona et al. apply single-nucleus RNA-seq and ATAC-seq to profile the cellular heterogeneity in adult IDH-mutant gliomas. They identify a range of transcriptional states within tumor cells...

cell.com
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Find the PDF here! cell.com/action/showPdf?pii=…
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Documentation website will follow soon!
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Enrique Blanco Carmona retweeted
Rafa Argüello@RafaJArguello3 May 2023
📢Submit by this Friday!!!🗓️❗️ Important message for those that wait for the last minute before the deadline to submit: This time 🙏 DO NOT DO THAT We already received 38 🤯🤓🤩candidates. Submit your application ASAP (link below) to have enough time to evaluate it. RT 1/3 – at Marseille, France
Rafa Argüello@RafaJArguello4 Apr 2023
📢🙏 share and help us to find a motivated PhD candidate for an 🤯🤓🤩 opportunity at @CancerImmunoAMU 🧪🧠 Exciting #PhD call in #PediatricOncology! to advance #Medulloblastoma research using innovative single-cell metabolomic profiling! @SCENITHmetab #ImmunoMetabolism 1/
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Enrique Blanco Carmona retweeted
Bassam@bassamstreet23 Apr 2023
Replying to @bassamstreet @edition_indian @tanya_shapiro
for Data viz. there are a lot. but one of the best is this workshop rstudio-conf-2022.github.io/… by @CedScherer
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To anybody currently using #SCpubr, is there anything you are currently missing in the package? (i.e: customisation feature or a specific visualization type) Currently working on a big 2.0.0 update. Stay tuned! #Seurat #DataAnalytics #DataVisualization #SingleCell #rstats
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Enrique Blanco Carmona retweeted
Ricardo O. Ramirez Flores@roramirezf943 Apr 2023
The latest expansion of TF regulons from prior knowledge led by @sophia_mullerd, @eirini_tsi, et. al. is available now. 🥳 If you were using dorothea as a downstream interpretation tool of transcriptomics data, you may want to have a look at our newest evaluations 😊
Saez-Rodriguez Group@saezlab3 Apr 2023
Transcription factor (TF) activity estimation can help to interpret transcriptomics data 🧬💻. In collaboration with the @NTNU and the @BSC_CNS, we present a high-confidence collection of signed TF regulons that covers >1,100 TFs tinyurl.com/24ks3uud
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Enrique Blanco Carmona retweeted
amissarova@Alsu_Troost13 Mar 2023
Happy to present my recent work - a cluster-free method for DE testing, leveraging overlapping neighbourhoods in the graph representation of sc-data (aka miloDE): biorxiv.org/content/10.1101/… . A little thread below describes the motivation and suggestions on interpreting the results.

Sensitive cluster-free differential expression testing

Comparing molecular features, including the identification of genes with differential expression (DE) between conditions, is a powerful approach for characterising disease-specific phenotypes. When...

biorxiv.org
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Enrique Blanco Carmona retweeted
Rahul Satija@satijalab8 Mar 2023
We've been working on Seurat v5 for two years and are excited to share it with you soon! In a webinar w/@10xGenomics and @ScienceMagazine on 3/29, I'll introduce new methods to analyze spatial/multimodal datasets that scale to tens of millions of cells: view6.workcast.net/register?…
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Pleased to announce that SCpubr v1.1.0 is on #CRAN! Packed with five new functions that target visualization of functional annotation analysis and reference mapping with #Azimuth (@satijalab)! And more! Check it out! github.com/enblacar/SCpubr/r… #DataVisualization #SingleCell

Release 1.1.0 · enblacar/SCpubr

SCpubr v1.1.0 Can be installed via CRAN: install.packages("SCpubr") Or via GitHub: devtools::install_github("enblacar/SCpubr", ref = "v1.1.0") Patch notes General Inc...

github.com
Enrique Blanco Carmona@Enblacar14 Oct 2022
My new R package (#SCpubr) based on #Seurat (@satijalab) for generating high quality, publication-ready plots for #SingleCellRNASeq is finally on #CRAN! Check it out! enblacar.github.io/SCpubr-bo… #rstats #ggplot2 #DataViz #bioinformatics

SCpubr

enblacar.github.io
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Enrique Blanco Carmona retweeted
Saez-Rodriguez Group@saezlab4 Nov 2022
New preprint is out! 🚨 We analyzed the spatial map of multiple sclerosis (MS) lesions using snRNA-seq and spatial transcriptomics 🧠. This was a close collab with @schirmerlab, led by @Cels121 and our @PauBadiaM. See below 👇
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#SCpubr v1.0.2 is out! It packs a lot of user-requested additional functionalities and more! Want to know all the changes? Check them out! enblacar.github.io/SCpubr-bo… #rstats #SingleCellTranscriptomics #ggplot2 #dataviz #Seurat #R #bioinformatics #CRAN
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My new R package (#SCpubr) based on #Seurat (@satijalab) for generating high quality, publication-ready plots for #SingleCellRNASeq is finally on #CRAN! Check it out! enblacar.github.io/SCpubr-bo… #rstats #ggplot2 #DataViz #bioinformatics

SCpubr

enblacar.github.io
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Enrique Blanco Carmona retweeted
Cédric Scherer@CedScherer23 Sep 2021
📊🧵 Collection of tweets featuring open-access materials that I have shared over the last years: Talks, seminars, blog posts, hands-on notebooks, codes, and more! #rstats #ggplot2 #tidyverse #dataviz 🧙‍♂️
Title slide of my "ggplot Wizardry" talk at Outlier conference 2021.

ALT Title slide of my "ggplot Wizardry" talk at Outlier conference 2021.

Final visualization of my "Evolution of a ggplot2" blog post.

ALT Final visualization of my "Evolution of a ggplot2" blog post.

Overview of plots contained in my "A ggplot2 tutorial for beautiful plotting in R"

ALT Overview of plots contained in my "A ggplot2 tutorial for beautiful plotting in R"

Title slide of my "Beyond Bar and Box Plots: Chart alternatives and how to design them with ggplot2" talk for USGS

ALT Title slide of my "Beyond Bar and Box Plots: Chart alternatives and how to design them with ggplot2" talk for USGS

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👋 Adiós #barbarplots, Hola raincloud plots😎 👉 ggdist @CedScherer (buff.ly/3yjlVXB) 🤟 ggstatsplot @patilindrajeets (buff.ly/303zAQY) 🖖 pirateplot @YaRrrBook (buff.ly/3N5h8jL) #dataviz #RStats #datavisualization #analytics #datascience #stats #data
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