Unconfigured Ad

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

    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
      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, Yesterday, 11:41 AM
    0 responses
    9 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-20-2026, 11:10 AM
    0 responses
    23 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    36 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    45 views
    0 reactions
    Last Post SEQadmin2  
    Working...