Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • srp33
    Junior Member
    • Oct 2010
    • 2

    #1

    Getting Gene-Level "Expression" Value

    I have some RNA-Seq data in FASTQ format that was sequenced using Illumina Genome Analyzer. My end goal is to get an expression value for each human gene.

    As a test, I downloaded the FASTA files for chromosome 22 from ENSEMBL. Then I used bowtie to map the reads. I'm using the following parameters for this.

    ./bowtie -a -v 2 --best --suppress 1,5,6,8 --quiet -p 8 chr22.fa $sequenceFile $sequenceFile.map

    My first desire is to understand how to interpret the .map file that is output by bowtie. The documentation explains what each column means. But I'm getting more lines in my .map file than there are lines in my FASTQ file, which is unintuitive to me. I was thinking that each line of output would correspond to one read that had aligned to a specific region of the genome. Is that not the case? If not, what does each line in the output represent as a whole?

    Any help would be greatly appreciated.
  • srp33
    Junior Member
    • Oct 2010
    • 2

    #2
    OK, it looks I was getting so much output because I had specified the -a parameter. I didn't read the documentation around the examples closely enough.

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
      by SEQadmin2



      Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

      Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
      ...
      10-14-2026, 09:55 AM
    • SEQadmin2
      New Genomics Technologies Take Aim at Long-Standing Limits
      by SEQadmin2


      Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

      We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
      ...
      09-28-2026, 10:25 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Yesterday, 11:13 AM
    0 responses
    19 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, Yesterday, 10:48 AM
    0 responses
    18 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-15-2026, 10:52 AM
    0 responses
    36 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 10-14-2026, 05:39 AM
    0 responses
    42 views
    0 reactions
    Last Post SEQadmin2  
    Working...