Enrique Blanco Carmona

#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/SCpub… #rstats #ggplot2 #Seurat #DataViz #bioinformatics #SingleCellRNASeq

Find the PDF here! cell.com/action/showPdf…

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-m… #dataviz #rstats #Seurat

@loukesio I can see the attention to detail and plot aesthetics when it’s in front of me. Very neat package! I am a fam of that logo 🤣 Looking forward to see what it becomes in the future. Any plans on releasing it to #CRAN / #Bioconductor? 👀 #DataViz #RNAseq

Excited to introduce #ggvloc! 🎉 For everyone working with differential expression datasets & RNAseq data, this can be a game-changer. Visualize & highlight genes of interest in just one line of code Check out the package here:github.com/loukesio/ggvolc. Don't forget to give it a ⭐

Documentation website will follow soon!

#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/SCpub… #rstats #ggplot2 #Seurat #DataViz #bioinformatics #SingleCellRNASeq

📢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

@edition_indian @tanya_shapiro for Data viz. there are a lot. but one of the best is this workshop rstudio-conf-2022.github.io/ggplot2-graphi… by @CedScherer

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

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 😊

@Alsu_Troost Looking forward to try it out!

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/10.110… . A little thread below describes the motivation and suggestions on interpreting the results.

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?cpak=…

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/SCpub… #DataVisualization #SingleCell

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 👇

@naseerjrbasma @satijalab Hi! You should be able to change it in do_DimPlot() using the colors.use parameter and providing a named list of colors, corresponding to the unique clusters or identities you are plotting. Check the second example in this section of the reference manual! #group-by-a-variable-but-split-by-another" target="_blank" rel="nofollow noopener">enblacar.github.io/SCpubr-book/di…

@Enblacar @satijalab Great tool Enrique. One problem I have struggled with is changing default colours on UMAP plots. There doesn't appear to be an argument to change this. Can you suggest a way to do this?

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-book/ #rstats #ggplot2 #DataViz #bioinformatics

#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-book/ne… #rstats #SingleCellTranscriptomics #ggplot2 #dataviz #Seurat #R #bioinformatics #CRAN

@foldercase_com @satijalab Hey! Thanks a lot! As long as it correctly cites and points to the official SCpubr documentation (enblacar.github.io/SCpubr-book/), the GitHub (github.com/enblacar/SCpubr) and the Bioarxiv publication (biorxiv.org/content/10.110…) I am more than happy!

@Enblacar @satijalab 👋 Hey, this is a great tool! Would you be happy for us to list and cite it on our new Research Methods repository (freely available)? On foldercase.com/ResearchMethod… That'd be great!

@Josu65910920 Thank you! It’s really great to see such a warm welcome to the package! SingleCellExperiment is currently not supported, but definitely on my ToDo list!

@AedinCulhane @Enblacar @tangming2005 @satijalab @Bioconductor Very good question. Congratulations for a really amazing job @Enblacar. Such a gift for the community.

@AedinCulhane @tangming2005 @satijalab @Bioconductor Thank you! Currently, SingleCellExperiment class is currently not supported, but definitely is something on the To-Do list!

@Enblacar @tangming2005 @satijalab You did a really great job with documentation. Nice #rstats package. Does it accept a @Bioconductor SingleCellExperiment class as well as Seurat?