Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • tamas.varga
    Junior Member
    • Jul 2025
    • 1

    #1

    Question on scRNA graph format

    Hello,

    I am new in scRNAseq and in illustrating results. I often see a type of graph in papers where categories are in a row, and the corresponding values, which are tipically size of circle = %of cells expressing a particular gene AND color of circle = level of expression are shown. Could you, please, tell me the name of this type of graph, and if it is better to make such graphs with R or Python, or if there is a specialized package for this type of graphs? Example from recent paper is enclosed. Thanks!
  • fchatonnet
    Member
    • Sep 2014
    • 30

    #2
    Dear Tamas, this type of graph is called a dot plot and is included in packages used for scRNA-seq analysis.
    I strongly encourage you to read the publications and manuals / tutorials about Seurat, the main R package used for scRNA-seq analysis or ScanPy, its python counterpart. They are very complete analysis packages and will provide you with a lot of different graphical tools to get nice displays of your data. Enjoy!

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
      by SEQadmin2



      CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

      Despite this, “CRISPR helped turn genome editing from a specialized technique into
      ...
      07-31-2026, 11:01 AM
    • SEQadmin2
      Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
      by SEQadmin2


      Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

      The systematic characterization of the human proteome has
      ...
      07-20-2026, 11:48 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Today, 10:35 AM
    0 responses
    3 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-06-2026, 07:41 AM
    0 responses
    23 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    40 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-31-2026, 02:55 AM
    0 responses
    46 views
    0 reactions
    Last Post SEQadmin2  
    Working...