Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • bre
    Member
    • Dec 2009
    • 11

    #1

    MosaikAligner: Low reads/sec

    I recently decided on using the Mosaik tools as they support Sanger-sequenced data. However, when I run MosaikAligner on a relatively small query set (1.9MB with 1000 sequences) on a cluster with 48 cores, I have a problem with the number of reads per second processed. When MosaikAligner starts out, I have a read rate of 15 reads/sec but this number continuously drops to below .1 reads/sec at which rate even such a small subset of my reads will take over an hour to align. I tested the aligner first using only a 10 sequence query file from the same data set and the alignment was almost instantaneous. Has anyone else used the Mosaik tools and experienced similar problems?
  • bre
    Member
    • Dec 2009
    • 11

    #2
    I should mention I'm using these parameters:
    -bw 51 -hs 15 -m all -p 48 -mmp .2 -dh
    and using a jump database for the reference genome.

    Comment

    • shahid.manzoor
      Junior Member
      • Jun 2009
      • 8

      #3
      I want to use Mosaik API but when i execute make command in c++ or perl it give error like MosaikAlignment.h:441: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:442: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:444: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:495: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:497: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:527: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:528: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:579: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:582: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:584: error: ‘uint64_t’ does not name a type
      MosaikAlignment.h:585: error: ‘uint64_t’ does not name a type
      make: *** [MosaikConversionMain.o] Error 1
      so any body can help me how i can use API for c++ or perl.

      Comment

      • dakl
        Member
        • May 2009
        • 15

        #4
        shahid.manzoor, you should start a new thread with your question instead of adding to threads regarding other topics...

        Anyway, back to bre's question. I have the exact same problem. I have Illumina 76-mers from exome-capture experments and aligning 1M reads to chr 21 of hg19 using the parameters

        Code:
        -mm 12 -act 35 -p 6 -bw 29
        on my 8-core, 108Gb machine. The alignment is roughly 15reads/sec initally but slowly falling to <1 read/sec. I'm not using a jump database for this.

        Anyone else seen and/or solved this?

        Thanks
        Daniel

        Comment

        • bre
          Member
          • Dec 2009
          • 11

          #5
          Ultimately I decided Mosaik wasn't suited to my needs so unfortunately I can't give you a solution...

          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, 10:13 AM
          0 responses
          13 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-31-2026, 02:55 AM
          0 responses
          23 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-23-2026, 11:41 AM
          0 responses
          18 views
          0 reactions
          Last Post SEQadmin2  
          Working...