Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Clammomatic
    Junior Member
    • May 2019
    • 1

    Merging transcriptomes coming from SRA: caveats and best practices?

    I'm about to start a project where I want to pool all existing transcriptomes in SRA for a nonmodel species without reference genome to study differentially expressed genes and the kind. Might worth mentioning that the transcriptomes I want to pool mostly come from different tissues.

    Have you ever done something similar? Is there anything I should be extra careful about (batch effect, ...)? Do you have some literature suggestion about something similar to my project? I only found papers about merging microarray data until now.
  • colindaven
    Senior Member
    • Oct 2008
    • 417

    #2
    Hmm. You might want to use the aggregated webstores of RNA-seq like recount2 or others.



    I would combine and put them into a nice web tool like the DEGUST webserver to do some MDS and check quality. Or use R and PCA locally.

    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
    26 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-23-2026, 11:41 AM
    0 responses
    20 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-20-2026, 11:10 AM
    0 responses
    28 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    38 views
    0 reactions
    Last Post SEQadmin2  
    Working...