Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Artur Jaroszewicz
    Member
    • Sep 2011
    • 45

    GMAP vs GSNAP

    Hello all,

    I was wondering if someone could enlighten me as to the difference between GMAP and GSNAP, their advantages and disadvantages, and usage difference. I'm running RNA-seq data with 50 bp single-end reads, and am mostly interested in gene expression, and soon isoform expression. I've searched all the documentation, and all I've found is that GSNAP is for short reads, which to me sounds quite ambiguous.

    Also, as a side note, I was wondering what the output of GMAP is... I know GSNAP requires a redirection to another file; does GMAP write to stdout or to a new file? I'm interested in the SAM output, as my current pipelines are all set up for that format.

    Thank you greatly in advance,
    Artur
  • darked89
    Member
    • Jun 2009
    • 38

    #2
    GSNAP is what you can use for spliced mapping of Illumina 50bp single-end reads. The default output is SAM. With 50bp you will have some problems with reads spanning splice junctions, so you may be better of if you map your reads to transcriptome in an unspliced mode first, like in tophat 1.4.0.

    BTW, gsnap --help gives you more options.

    GMAP is for ESTs/cDNAs mapping, and a sensible compromise between speed and sensitivity, i.e as compared to exonerate (way slower).

    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, 07-24-2026, 12:17 PM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-23-2026, 11:41 AM
    0 responses
    18 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-20-2026, 11:10 AM
    0 responses
    24 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-13-2026, 10:26 AM
    0 responses
    37 views
    0 reactions
    Last Post SEQadmin2  
    Working...