Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Memory problems with MosaikAligner 1.0.1307 (removed -km and -pm)

    Hi

    There was an option in "old" MosaikAligner to load the keys-file, and/or positions-file into the memory by using "-km" and "-pm" from a reference jump database. I was never able to load both into memory due to lack of sufficient RAM, (loaded just the keys-file). This features are now removed in "new" MosaikAligner, and I am not able to aligne with my new jump-database.

    Are there any tricks besides upgrading the hardware to get around this problem?

    Error message:
    Code:
    ------------------------------------------------------------------------------
    MosaikAligner 1.0.1307                                              2009-10-14
    Michael Stromberg & Wan-Ping Lee  Marth Lab, Boston College Biology Department
    ------------------------------------------------------------------------------
    
    - Using the following alignment algorithm: all positions
    - Using the following alignment mode: aligning reads to all possible locations
    - Using a maximum mismatch threshold of 6
    - Using a hash size of 15
    - Aligning in colorspace (SOLiD)
    - Using 4 processors
    - Using an alignment candidate threshold of 25bp.
    - Setting hash position threshold to 100
    - Using a jump database for hashing. Storing keys & positions in memory.
    - loading basespace reference sequences... finished.
    terminate called after throwing an instance of 'std::bad_alloc'
      what():  std::bad_alloc
    Aborted
    Server:
    Linux 2.6.25-gentoo-r7 #1 SMP x86_64 Intel(R) Xeon(R) CPU E5440 @ 2.83GHz GenuineIntel GNU/Linux
    cat /proc/meminfo gives "MemTotal: 16430836 kB"
    cat /proc/cpuinfo gives "8 times Intel(R) Xeon(R) CPU E5440 @ 2.83GHz"

Latest Articles

Collapse

  • 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
  • seqadmin
    Strategies for Sequencing Challenging Samples
    by seqadmin


    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
22 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
24 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 09:21 AM
0 responses
20 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-04-2024, 09:00 AM
0 responses
52 views
0 likes
Last Post seqadmin  
Working...
X