Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • GPU Enabled Bioinformatics Applications

    In a bit of a debate with a colleague about how many (or, as I put it, how FEW) application codes are currently GPU-enabled in the wide application case considered "Bioinformatics". Of course, it probably depends on how broad one defines "Bioinformatics"...but when you look at the list of very commonly used applications that get regular coverage on SeqAnswers....I think VERY few are GPU capable.

    So, how many broadly used Bio apps do YOU know of out there? Please feel free to name as well as comment on if the GPU "enhancement" is significant or not...

  • #2
    So, last time this was discussed on SeqAnswers appears to have been mid-2016, and the answers were as I would expect:
    Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


    After a lot of digging, I'm still not seeing any mainstream software tools designed for Bioinformatics workloads that utilize GPU's, though there is some work to improve distributed parallel computing functionality as in the case of "HipMer: An Extreme-Scale De Novo Genome Assembler" for example.

    Just seems like the GPU architecture doesn't readily lend itself to the current algorithms and data sets perhaps?

    Comment


    • #3
      Reviving an old thread. With the advent of the RTX nVIDIA GPU units, and the considerable efforts of nVIDIA to get people into GPU computing; we're very seriously considering buying a workstation with GPU capacity. Here are the current "Official" list of bioinformatics apps (https://www.nvidia.com/en-us/data-ce...tions/catalog/).

      What are people's thought's on this new approach to GPU computing?

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin




        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
        04-22-2024, 07:01 AM
      • seqadmin
        Current Approaches to Protein Sequencing
        by seqadmin


        Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
        04-04-2024, 04:25 PM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, 04-11-2024, 12:08 PM
      0 responses
      59 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      57 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 09:21 AM
      0 responses
      51 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-04-2024, 09:00 AM
      0 responses
      55 views
      0 likes
      Last Post seqadmin  
      Working...
      X