Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • ruhi.vsg
    Junior Member
    • Sep 2024
    • 2

    Importing data from GEO to R for analysing

    Dear all,

    I hope you are doing well.

    Firstly, I am sorry if my question looks naive, I am beginner in this field.

    For importing data from GEO websit for RNA-seq, I use GEOquery library in R. Problem here is, some data are complete regarding RNA-seq data and meta data, but most of the data are defect without data which look weird for me.

    For example: GSE149614, there is publication that authors used this data for their investigation. I used it for analyzing in R and importing it with GEOquery but there is no data after importing. I think maybe I am doing something wrong.

    Can somebody help me with it?

    bests,
  • ruhi.vsg
    Junior Member
    • Sep 2024
    • 2

    #2
    Something like this:

    Click image for larger version

Name:	image.png
Views:	309
Size:	58.4 KB
ID:	326141

    Comment

    • seqadmin
      Senior Member
      • Oct 2022
      • 729

      #3
      Hello ruhi.vsg. I'm not familiar with this, but I'm going to include your question in our newsletter so that others will see it and hopefully be able to help.

      Comment

      • SIA FLORENCE KOROMA
        Junior Member
        • Oct 2024
        • 3

        #4
        Hello please i am new here, i need help on data

        Comment

        • SIA FLORENCE KOROMA
          Junior Member
          • Oct 2024
          • 3

          #5
          i am working on PCR and qPCR real time data

          Comment

          • SIA FLORENCE KOROMA
            Junior Member
            • Oct 2024
            • 3

            #6
            [email protected]

            Comment

            • fchatonnet
              Member
              • Sep 2014
              • 30

              #7
              Hello ruhi.vsg, GEOquery was originally released for micro-array data querying and analysis. Si using it to automatically retrieve bulk or single cell RNA-seq data might not be the best approach.
              You might want to update R, BiocManager and GEOquery to their last versions, as a development version seems able to deal with RNA-seq data (but it might be bulk RNA-seq and not scRNA-seq...), see here: https://bioc.r-universe.dev/GEOquery/doc/manual.html
              The install link provided is on github, not on Bioconductor, since its a devel version.
              In the case of scRNA-seq data, you have to download the matrix and metadata files from GEO (provided they are available) by yourself and create your own R object by using a scRNA-seq analysis package such as Seurat, see answer from "haci" in https://bioinformatics.stackexchange...m-geo-database

              Good luck!

              Comment

              Latest Articles

              Collapse

              • 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
              • SEQadmin2
                Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                by SEQadmin2



                Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                07-08-2026, 05:17 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              16 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              18 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-20-2026, 11:10 AM
              0 responses
              24 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-13-2026, 10:26 AM
              0 responses
              37 views
              0 reactions
              Last Post SEQadmin2  
              Working...