Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • rc630
    Junior Member
    • Jan 2016
    • 5

    #1

    Newbie to MiSeq, QIIME workflow question

    Hi all,

    I just got my MiSeq data for fungal ITS sequences in a large number of samples. I am going to be using QIIME to do the analysis and I have a basic workflow from another person, but I wasn't sure about where paired end assembly would be in the workflow.

    I know that MiSeq data is already demultiplexed and that I will be using the split_libraries_fastq.py function, but do I need to do paired end assembly before that? What program is best to use for that, PANDASeq or join_paired_ends.py? For each sample I have two FASTQ files, Read 1 and Read 2, but the workflow I have does not address that.

    Thanks
  • thermophile
    Senior Member
    • Apr 2015
    • 243

    #2
    Here's my processing script for getting already demultiplexed sequences to the point of running through qiime. The for loop makes sense for the way that I name my samples/sequences, but may not make sense for your naming convention.

    Microbial ecologist, running a sequencing core. I have lots of strong opinions on how to survey communities, pretty sure some are even correct.

    Comment

    • Brian Bushnell
      Super Moderator
      • Jan 2014
      • 2709

      #3
      Originally posted by rc630 View Post
      I know that MiSeq data is already demultiplexed and that I will be using the split_libraries_fastq.py function, but do I need to do paired end assembly before that? What program is best to use for that, PANDASeq or join_paired_ends.py?
      Yes, you should merge the paired reads into single reads. The best program for that purpose is BBMerge.

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
        by SEQadmin2




        NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
        Yesterday, 06:46 AM
      • SEQadmin2
        Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
        by SEQadmin2



        Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

        Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
        ...
        10-14-2026, 09:55 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 10-28-2026, 09:57 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-28-2026, 09:51 AM
      0 responses
      15 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 11:13 AM
      0 responses
      71 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 10:48 AM
      0 responses
      48 views
      0 reactions
      Last Post SEQadmin2  
      Working...