Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • lbeltrame
    Member
    • Nov 2011
    • 10

    Getting expression for miRNAseq data - 0 counts?

    Hello everyone,

    thanks to the advice provided in the other thread (for reference: http://seqanswers.com/forums/showthread.php?t=17282) I managed to get reasonable alignment percentages. Now I'm moving to the next step, calculating expression.

    At the moment however, I can't seem to get any count out, using htseq-count from the Python HTSeq package.

    For GFF/GTF, I downloaded the GFF file from mirBase, and invoked htseq-count as follows:

    Code:
    htseq-count -q -i ID -t miRNA test.sam miRNA_hsa.gff
    However, all features come out as a net count of 0. I'm pretty sure I made one (or more) mistake, but I don't have a clue on where to look for... any suggestions?
  • lbeltrame
    Member
    • Nov 2011
    • 10

    #2
    I solved the issue myself, so I'm leaving this for posterity. Basically the GFF file from mirBase is not that good. I retrieved the relevant table from the UCSC Genome Browser and I finally got my counts correctly.

    Comment

    • Palgrave
      Member
      • Aug 2011
      • 73

      #3
      Hi,

      Could you specify which file you downloaded and if you edited it some way and how you ran the script? Did you use sam from bowtie output as your input?

      Best

      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, 07-20-2026, 11:10 AM
      0 responses
      18 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-13-2026, 10:26 AM
      0 responses
      33 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      44 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      30 views
      0 reactions
      Last Post SEQadmin2  
      Working...