Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • a.kmg
    Member
    • Aug 2014
    • 15

    #1

    Problem with HTSeq-count tool.

    Hello,

    I use TopHat2 to generate the alignment of my paired-end fastq files.

    The following "align_summary.txt" is created :

    Left reads:
    Input : 47466605
    Mapped : 41265217 (86.9% of input)
    of these: 5205466 (12.6%) have multiple alignments (141994 have >20)

    Right reads:
    Input : 47466605
    Mapped : 41580477 (87.6% of input)
    of these: 5255753 (12.6%) have multiple alignments (143224 have >20) 87.3% overall read mapping rate.

    Aligned pairs: 39852098
    of these: 4959709 (12.4%) have multiple alignments
    408853 ( 1.0%) are discordant alignments
    83.1% concordant pair alignment rate.
    how to determine the number of uniquely aligned reads ?

    If I do :

    39,852,098-4,959,709-408,853=34,483,536 uniquely aligned reads.

    But when I run htseq on this sam file, I obtained:

    reads assigned to a gene : 30,247,445
    no_feature : 6,495,866
    ambiguous : 748,775

    If I do not talk nonsense, the sum of these three numbers should equal the number of uniquely aligned reads (since HTseq deals only these reads). But 37,492,086 reads are processed and not 34,483,536.

    So my calculation of unique reads is false?

    Does anyone has an idea how to interpret this "align_summary.txt" file?

    Thanks at all !
    Last edited by a.kmg; 09-24-2014, 01:07 AM.

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

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Yesterday, 12:22 PM
0 responses
16 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-11-2026, 10:35 AM
0 responses
16 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-06-2026, 07:41 AM
0 responses
31 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-03-2026, 10:13 AM
0 responses
50 views
0 reactions
Last Post SEQadmin2  
Working...