Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • angerusso
    Member
    • Oct 2011
    • 47

    #1

    memory error: tophat-fusion-post

    I have ~400 samples where I ran tophat2 fusion. Now I am trying to run tophat-fusion-post which gives the following error:

    Traceback (most recent call last):
    File "/x86_64/tophat/v2.0.8/tophat-fusion-post", line 2627, in <module>
    sys.exit(main())
    File "/x86_64/tophat/v2.0.8/tophat-fusion-post", line 2604, in main
    read_dist(params)
    File "/x86_64/tophat/v2.0.8/tophat-fusion-post", line 1196, in read_dist
    parallel_work(pids, work)
    File "/x86_64/tophat/v2.0.8/tophat-fusion-post", line 731, in parallel_work
    child_id = os.fork()
    OSError: [Errno 12] Cannot allocate memory
    Sat Jun 8 23:50:10 EDT 2013

    Can anyone help me this error? Thanks so much.
  • rnastar
    Member
    • Aug 2013
    • 13

    #2
    I am also have a similar problem. I am wondering if I am not specifying enough memory per parallel job on our cluster (currently 5G)? Any help would be appreciated here.

    Code:
    [2013-12-18 03:44:13] Mapping right_kept_reads.m2g_um_seg1 to genome genome with Bowtie2 (1/2)
    [2013-12-18 03:52:29] Mapping right_kept_reads.m2g_um_seg2 to genome genome with Bowtie2 (2/2)
    [2013-12-18 04:05:24] Searching for junctions via segment mapping
    [2013-12-18 05:27:58] Retrieving sequences for splices
    [2013-12-18 05:37:53] Indexing splices
    Traceback (most recent call last):
      File "./tophat", line 4072, in <module>
        sys.exit(main())
      File "./tophat", line 4038, in main
        user_supplied_deletions)
      File "./tophat", line 3692, in spliced_alignment
        if reads == None or not nonzeroFile(reads):
      File "./tophat", line 1155, in nonzeroFile
        samtools_view = subprocess.Popen(samtools_view_cmd, stdout=subprocess.PIPE)
      File "/usr/local/lib/python2.7/subprocess.py", line 672, in __init__
        errread, errwrite)
      File "/usr/local/lib/python2.7/subprocess.py", line 1111, in _execute_child
        self.pid = os.fork()
    OSError: [Errno 12] Cannot allocate memory

    Comment

    • dfornika
      Junior Member
      • Aug 2009
      • 4

      #3
      I've just run an analysis on ~30 libraries and got a similar error. I was running it on a multi-user machine with ~60 GB of RAM.

      Code:
      Traceback (most recent call last):
        File "/home/dfornika/bin/tophat-2.0.12/tophat-fusion-post", line 2644, in <module>
          sys.exit(main())
        File "/home/dfornika/bin/tophat-2.0.12/tophat-fusion-post", line 2621, in main
          read_dist(params)
        File "/home/dfornika/bin/tophat-2.0.12/tophat-fusion-post", line 1206, in read_dist
          parallel_work(pids, work)
        File "/home/dfornika/bin/tophat-2.0.12/tophat-fusion-post", line 737, in parallel_work
          child_id = os.fork()
      OSError: [Errno 12] Cannot allocate memory
      I did monitor the processes somewhat using 'top' and they seemed to be using ~20% of available RAM. I'm not sure what the actual limitation is that we're running into.

      It seems like tophat-fusion-post is designed to be run on a large(ish) group of samples at once. Is there any sensible way to break a large multi-sample analysis down into smaller groups? Is that likely to solve this memory issue?

      Comment

      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
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 07:41 AM
      0 responses
      9 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      38 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Working...