Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • nposnien
    Member
    • May 2011
    • 13

    Memory issue with velvetg

    I'm new to de-novo assembly and hope to get some help with my memory issues. Here is what I'm trying to do:

    I want to assemble RNAseq data using velvet/oases. I have one HiSeq2000 lane of 100bp PE reads (approx. 170 M read pairs). This dataset has been randomly splitted into 10%, 20%, 30%....90% subsets. A colleague of mine managed to assemble the 100% dataset with approx. 104 GB RAM. I'm supposed to run the assemblies for the subsets. I managed to run the 10% and 20% samples through velvetg, velveth and oases without problems. The 30% sample i currently in the oases step. However, the 40% subset results in the following error messages:

    ------
    Exited with exit code 1.

    Resource usage summary:

    CPU time : 27907.75 sec.
    Max Memory : 55595 MB
    Max Swap : 92723 MB

    Max Processes : 4
    Max Threads : 52

    The output (if any) follows:

    velvetg: Can't malloc 540 ShortReadMarkers totalling 10800 bytes: Cannot allocate memory
    ------

    or:

    ------
    Exited with exit code 1.

    Resource usage summary:

    CPU time : 31115.64 sec.
    Max Memory : 40391 MB
    Max Swap : 42936 MB

    Max Processes : 4
    Max Threads : 52

    The output (if any) follows:

    velvetg: Can't malloc 267 ShortReadMarkers totalling 5340 bytes: Cannot allocate memory
    -------

    Velveth was run successfully with: ./velveth /Dir 27 -fastq -shortPaired /Dir/X.fastq -short /Dir/Y.fastq
    Velvetg settings are: ./velvetg /Dir -ins_length 300 -min_pair_count 2 -read_trkg yes -unused_reads yes

    In our AMD-Magny-Cours-Cluster (MEGWARE) Cluster I have 128 GB memory which should be enough (see above). The guys who are responsible for the core facility think that the problem might be that too many small portions of data are produced and that although there is enough memory in the system, it cannot deal with too many small packages (I hope this very unscientific description is clear enough). They suggested the incorporation of Boost (C++) Libraries?
    Additional information: The data is quality filtered and trimmed. The short reads are the singletons after trimming/filtering.

    I would appreciate any information on this issue.
    Thanks a lot in advance!
  • RyNkA
    Member
    • Jul 2013
    • 20

    #2
    hi all,

    I did encounter the same issues as this post

    21686.720139] 19780000 / 35211509 nodes visited
    [21693.361691] 19790000 / 35211509 nodes visited

    velvetg: Can't malloc 254367 ShortReadMarkers totalling 2543670 bytes: Cannot allocate memory

    -----


    CPU time : 05:54:30
    Wall time : 06:01:47
    Mem usage : 93610144kb
    CPU usage : 98%

    I did allocate 256gb ram for this job, so there are plenty of memory to spare. But velvet just die unexpectedly..

    Any suggestion ?

    Comment

    • mastal
      Senior Member
      • Mar 2009
      • 666

      #3
      How many reads do you have and how long are the reads?

      There are a few things you could try that would help to use less memory.

      What parameters has velvet been compiled with?

      The parameters CATEGORIES and MAXKMERLENGTH affect the amount of memory velvet uses. If velvet has been compiled for more categories than you are using or a longer kmer length than you need, then reducing these values would reduce memory usage.

      Comment

      • RyNkA
        Member
        • Jul 2013
        • 20

        #4
        Originally posted by mastal View Post
        How many reads do you have and how long are the reads?

        There are a few things you could try that would help to use less memory.

        What parameters has velvet been compiled with?

        The parameters CATEGORIES and MAXKMERLENGTH affect the amount of memory velvet uses. If velvet has been compiled for more categories than you are using or a longer kmer length than you need, then reducing these values would reduce memory usage.
        Hi,

        That was an Ion Proton reads, with read length ranging from 30-300 (after quality trimmed). I got around 25 million read per lib, 6 lib total.

        MAXKMERLENGTH is set at 70, CATEGORIES is 2

        Already read some of the opinions online and they suggest that data is so big so that even if the allocated memory is still available, the process cannot be continued.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
          by SEQadmin2


          Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


          The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
          ...
          06-02-2026, 10:05 AM
        • SEQadmin2
          Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
          by SEQadmin2


          With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


          Introduction

          Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
          05-22-2026, 06:42 AM
        • SEQadmin2
          Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
          by SEQadmin2

          Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


          Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
          05-06-2026, 09:04 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, Yesterday, 08:59 AM
        0 responses
        14 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 06-02-2026, 12:03 PM
        0 responses
        22 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 06-02-2026, 11:40 AM
        0 responses
        19 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 05-28-2026, 11:40 AM
        0 responses
        32 views
        0 reactions
        Last Post SEQadmin2  
        Working...