Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • emolinari
    Member
    • May 2013
    • 47

    #1

    low TopHat mapping!!!

    Hi guys,

    another problem to solve. I am running TopHat on some human cells samples I have submitted to our facility for RNAseq. The bioanalyzer values were great (all above RIN 8.5) and thus a library based exclusively on ribo depletion has been created.
    I have multiplexed 4 samples in a lane (75bp, single-end) and obtained roughly 50 mil reads for each sample.
    This is my TopHat summary:

    Reads kept by tophat2 for mapping: 48777778
    Reads discarded by tophat2: 321249

    Number of unique reads that mapped: 5922988
    Percentage of unique reads that mapped: 12.06%

    I have used transcriptome for Tophat2...but I cannot understand why such a low mapping percentage (not the same across the samples, ranges across 12-40%).
    Do you have any idea???
    Other groups in our lab (doing polyA selection, on same cells, using same RNAseq pipeline) map almost 90% of the reads.

    Help me please!!!
    Thanks
    Manu

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, 07-31-2026, 02:55 AM
0 responses
17 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
15 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
13 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-20-2026, 11:10 AM
0 responses
25 views
0 reactions
Last Post SEQadmin2  
Working...