Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • allenma
    Junior Member
    • Mar 2011
    • 5

    #1

    A comparison tree for multiple RNA-seqs

    Is there a program that can compare 20 RNA-seqs (with different treatments in the same cell line) to one another and determine which samples are the most similar and which are most different? It would be kind of like a phylogenetic comparison... or an RNA-seq BLAST.

    I'm not sure what his would even be called so searching for it is hard.

    Thanks
  • allenma
    Junior Member
    • Mar 2011
    • 5

    #2
    BTW, I don't want to do a gene expression comparison but a whole sample to whole sample.

    Comment

    • kopi-o
      Senior Member
      • Feb 2008
      • 319

      #3
      Do you mean a hierarchical clustering? You could do a heatmap with hierarchical clustering easily in R, for instance.

      Comment

      • pbluescript
        Senior Member
        • Nov 2009
        • 224

        #4
        R has a ton of packages for this ranging from simple regression models to more complicated machine learning algorithms for clustering. What type of comparison do you want to do?
        If you're not familiar with R, you could give this program a shot:

        Here's the paper describing it:
        http://www.sciencemag.org/content/33...e-a48b1f07cfa7

        Comment

        • allenma
          Junior Member
          • Mar 2011
          • 5

          #5
          Thanks for these answers. I will try them.

          Comment

          • Simon Anders
            Senior Member
            • Feb 2010
            • 995

            #6
            Have a look at the section on sample clustering and PCA in the new DESeq vignette.

            Comment

            • ekimmike
              Member
              • Apr 2012
              • 14

              #7
              what would you recommend for plotting heatmaps of multiple conditions?
              I really appreciate DEseq for pairwise comparison but having more than 10 conditions make analysis a bit problematic especially when it comes to heatmaps, and comparison between samples

              Comment

              • upendra_35
                Senior Member
                • Apr 2010
                • 102

                #8
                How about doing MDS plot? It can be easily done in R.

                Comment

                • ekimmike
                  Member
                  • Apr 2012
                  • 14

                  #9
                  not enough I was asked for heatmaps, to reveal nice clusters and so...
                  this is not that straightforward having multiple conditions in DEseq analysis

                  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
                  • SEQadmin2
                    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                    by SEQadmin2



                    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                    ...
                    07-09-2026, 11:10 AM

                  ad_right_rmr

                  Collapse

                  News

                  Collapse

                  Topics Statistics Last Post
                  Started by SEQadmin2, Yesterday, 10:13 AM
                  0 responses
                  14 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-31-2026, 02:55 AM
                  0 responses
                  27 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-24-2026, 12:17 PM
                  0 responses
                  20 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 07-23-2026, 11:41 AM
                  0 responses
                  19 views
                  0 reactions
                  Last Post SEQadmin2  
                  Working...