Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • biofreak
    Member
    • Jun 2011
    • 44

    #1

    How to validate RNAseq pipeline

    Hi
    I have created a pipeline to process RNAseq data and have used DEseq to conduct differential expression analysis. The question is, how do I know it is giving valid results? Are there any gold standard datasets with which I can compare my results?
    thanks
  • Mchicken
    Member
    • Jan 2014
    • 39

    #2
    One possibility would be the Flux simulator, which is simulating RNA-Seq experiments. In the .pro file you can see the actual amount of transcripts in your transcriptome, the number of produced fragments from the transcripts as well as the number of reads produced from each transcript. You could then analyze the simulated fastq-file with your pipeline and compare your findings to the values in the .pro file.

    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
      ...
      Yesterday, 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, 02:55 AM
    0 responses
    9 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-24-2026, 12:17 PM
    0 responses
    12 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-23-2026, 11:41 AM
    0 responses
    12 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-20-2026, 11:10 AM
    0 responses
    24 views
    0 reactions
    Last Post SEQadmin2  
    Working...