Single Cell Transcriptomics Org
@SingleCellData
We offer free tools to process and visualize #singlecell data #transcriptomes using #Seurat objects. DIY, without depending on a #bioinformatician! #SCRNASeq
คุณอาจชื่นชอบ
Check out a novel approach to prioritizing congenital heart disease #CHD variants. buff.ly/3jhI4kd. Ryabhatta and Natian were used on #scrnaseq data from the mouse outflow tract to increase the priority of genes with variants from CHD patients.
Do pancreatic cells dedifferentiate in patients with type 2 Diabetes into child-like cells? buff.ly/3e52bz4. You can open and process the associated #singlecelldata using GSE83139 in Ryabhatta at buff.ly/3qyVqKX
Check out START, a Graphical User Interface for differential gene expression analysis buff.ly/3hzOWHx. If you wish to use EdgeR, voom/limma or linear models to examine pseudobulk- transformed #scRNAseq from Natian or Ryabhatta, you can use START! buff.ly/3qyVqKX
t-SNE with informative initialization performs as well as UMAP with informative initialization. Very interesting analysis by Kobak and Linderman! buff.ly/3hbPwfI. Try both tSNE and UMAP at buff.ly/3qyVqKX #SinglecellData # scRNAseq
Check out new spatial transcriptomics analysis from Cole Trapnell, Kelly Stevens, and Jay Shendure groups buff.ly/2V69tMF. You can use Ryabhatta & Natian to analyze this data yourself! buff.ly/3qyVqKX
"My bioinformatician made this figure a couple of months ago, but I wish to change the colors on the plots. Should I send an email or text"? Neither! Fire-up Ryabhatta and make your own plots with your own color format. #singlecelldata #scRNAseq
How many bioinformaticians does it take to change a light-bulb? Just one! We are also humans with the ability and need to do other things. So if you have a question about gene expression in single-cell data when I am changing the bulb, go to singlecelltranscriptomics.org
"My bioinformatician made this figure a couple of months ago, but I wish to change the colors on the plots. Should I send an email or text"? Neither! Fire-up Ryabhatta and make your own plots with your own color format. buff.ly/3qyVqKX #singlecelldata #scRNAseq
Do you know the difference between a data frame and a tibble? Do you need to know that to analyze your single-cell RNA-seq data? NO! Check out buff.ly/3qyVqKX #scRNAseq #singlecelldata
I use our lab's recently published #spatialtranscriptomics #dataanalysis tool MERINGUE to complement #singlecell clustering analysis to look for spatial #geneexpression patterns within cell-types in the mouse cortex: jef.works/blog/2021/06/2… #bioinformatics #Rstats #codetutorial
Work on your #singlecell data without having to #code! Download these tools to process and also visualize #transcriptomes buff.ly/3jjnikE #SCRNAseq
Process #Trancriptomes data analysis using #seuratobjects and also visualize them using our free tools. Download them here: buff.ly/3jjnikE #SCRNSseq
#BioInformatics part of your #research slowing you down? Perform your own #SCRNASeq analysis using these free tools! buff.ly/3jjnikE
Perform #SingleCell data analysis on your own, on your PC. No coding required. Download the free tool today! buff.ly/3jjnikE
Create #Seurat objects from 10x #Genomics or any other #singlecell #transcriptome technology Perform quality control, principal component analysis and dimensionality reduction Identify clusters of cells and markers for all the clusters. #SCRNAseq singlecelltranscriptomics.org
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