Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Using MetaVelvet, what hardware requirements?

    Hi everyone,

    I just received my very first set of shotgun-metagenomic sequencing results. They are illumina pair ended reads produced using the 2x250bp method. I have 26.5 million reads.

    My question is about the memory requirements of metavelvet.. In the manual it says the program requires "At least 12Gb of RAM (more is no luxury)" But they go onto use a computer with 48Gb of RAM to produce their example data in table 1 and the "required memory" for each assembly in tabel 1 is up to 72Gb.

    I'm finding this quite confusing! What happens when the memory requirement exceeds the amount of RAM on the workstation? Will the program crash or start making temporary files on the hard drive? Can you really use a computer with only 12Gb of RAM?

    Any advice would be greatly appreciated!! Please help!

  • #2
    The approximate memory requirement is: number of nodes * 416 bytes because 416 bytes is the memory required for a node data-structure in C.

    Comment


    • #3
      Originally posted by rjoyons View Post
      HWhat happens when the memory requirement exceeds the amount of RAM on the workstation? Will the program crash or start making temporary files on the hard drive?
      Default behaviour: First it'll use the swap, and if the swap gets nearly full, then the kernel will kill the program.

      Do you really have only 12 GB available?

      Apparently the Megahit assembler is really memory efficient, you might want to try that one.

      Comment


      • #4
        This is also known as virtual memory, where the hard-disk space is being used for paging.

        Comment


        • #5
          I'm hoping this project has been assembled by now. That said, Megahit is indeed quite efficient and we are now using it for metagenomes, with better results than Soap using a small fraction of the time and memory.

          If you run out of memory with assemblies, particularly metagenomes, it can be helpful to quality-trim, error-correct, and normalize the data first. This can greatly decrease the resource requirements (both time and memory) by reducing the volume of input reads and unique input kmers.

          Comment


          • #6
            Brian, do know any paper that reviews it? I'm interested in knowing more.

            Comment

            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
            18 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-10-2024, 10:19 PM
            0 responses
            22 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-10-2024, 09:21 AM
            0 responses
            17 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-04-2024, 09:00 AM
            0 responses
            48 views
            0 likes
            Last Post seqadmin  
            Working...
            X