Single Cell Transcriptomics Org

We offer free tools to process and visualize #singlecell data #transcriptomes using #Seurat objects. DIY, without depending on a #bioinformatician! #SCRNASeq

[Single Cell Transcriptomics Org @SingleCellData]

@MicrobiomDigest @FrontPlantSci Are there any image analysis tools that journals could use to detect such duplicates? If not, that might be a need to create a machine learning tool that journals could use to filter figures. If there is one available, why are journals not using them?

[Single Cell Transcriptomics Org @SingleCellData]

Check out a novel approach to prioritizing congenital heart disease #CHD variants. https://t.co/eOtTmiq9jm. Ryabhatta and Natian were used on #scrnaseq data from the mouse outflow tract to increase the priority of genes with variants from CHD patients.

[Single Cell Transcriptomics Org @SingleCellData]

Do pancreatic cells dedifferentiate in patients with type 2 Diabetes into child-like cells? https://t.co/17QYnkJrTp. You can open and process the associated #singlecelldata using GSE83139 in Ryabhatta at https://t.co/eScoh6Ib28

[Single Cell Transcriptomics Org @SingleCellData]

Check out START, a Graphical User Interface for differential gene expression analysis https://t.co/RiAWj0oRni. If you wish to use EdgeR, voom/limma or linear models to examine pseudobulk- transformed #scRNAseq from Natian or Ryabhatta, you can use START! https://t.co/eScoh6Ib28

[Single Cell Transcriptomics Org @SingleCellData]

t-SNE with informative initialization performs as well as UMAP with informative initialization. Very interesting analysis by Kobak and Linderman! https://t.co/o7FTbJ8rPx. Try both tSNE and UMAP at https://t.co/eScoh6Ib28 #SinglecellData # scRNAseq

[Single Cell Transcriptomics Org @SingleCellData]

Check out new spatial transcriptomics analysis from Cole Trapnell, Kelly Stevens, and Jay Shendure groups https://t.co/aOjeybsRlD. You can use Ryabhatta & Natian to analyze this data yourself! https://t.co/eScoh6qzDy

[Single Cell Transcriptomics Org @SingleCellData]

"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

[Single Cell Transcriptomics Org @SingleCellData]

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 https://t.co/7eS0hy5K8P

[Single Cell Transcriptomics Org @SingleCellData]

"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. https://t.co/eScoh6Ib28 #singlecelldata #scRNAseq

[Single Cell Transcriptomics Org @SingleCellData]

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 https://t.co/eScoh6Ib28 #scRNAseq #singlecelldata

[Dr. Jean Fan @JEFworks]

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: https://t.co/OEEHH14iJu

#bioinformatics #Rstats #codetutorial

[Single Cell Transcriptomics Org @SingleCellData]

Work on your #singlecell data without having to #code! Download these tools to process and also visualize #transcriptomes https://t.co/RbFRvbNyOz #SCRNAseq

[Single Cell Transcriptomics Org @SingleCellData]

Process #Trancriptomes data analysis using #seuratobjects and also visualize them using our free tools. Download them here: https://t.co/RbFRvbNyOz #SCRNSseq

[Single Cell Transcriptomics Org @SingleCellData]

#BioInformatics part of your #research slowing you down? Perform your own #SCRNASeq analysis using these free tools! https://t.co/RbFRvbNyOz

[Single Cell Transcriptomics Org @SingleCellData]

Perform #SingleCell data analysis on your own, on your PC. No coding required. Download the free tool today! https://t.co/RbFRvbNyOz

[Single Cell Transcriptomics Org @SingleCellData]

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

https://t.co/KVZ6HUnIWP