Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Problems running nanocorr error correction w/ illumina reads and pacbio data

    I have an assembly of a nematode genome (~410Mb in size) that was originally created from 454 data, and then later improved with PacBio data using PBJelly. I would now like to try and error correct this data using 30x coverage of Illumina reads and the NANOCORR software, but I'm having some trouble understanding how to run it.

    Looking at the README, I see that I am supposed to run a partition script on what would be the nanopre_reads, but in my case I don't have that. The reads I want to use to improve my assembly are Illumina reads. So should I be partitioning the Illumina reads instead?

    Then, the actual nanocorr command line is basically this:

    nanocorr.py query.fa reference.fa

    and the software README says:
    ++++
    The query file will be "blasted" against each previously partitioned read.
    This query file can be anything useful for correction.
    Illumina data is what is used right now.
    ++++

    So this is what confuses me. I know the typical usage of nanocorr would be to have nanopore reads, illumina reads, and a reference. In my case I have only an assembly that I want to error correct, and illumina reads. Technically I also have PacBio data, but I have already improved my assembly using that data via PBJelly. I just want to error correct this assembly using the illumina data. Can nanocorr help me in this case? A co-worker who recently left said he had been using nanocorr to do this kind of thing, but when I look at it, it seems like this is not the typical usage. And the documentation he left behind is not very complete.

    If anybody here has experience with nanocorr I'd really appreciate some advice.

    Thanks,
    John

  • #2
    Try https://github.com/broadinstitute/pilon which was designed for this task.

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Essential Discoveries and Tools in Epitranscriptomics
      by seqadmin




      The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
      04-22-2024, 07:01 AM
    • 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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Yesterday, 08:47 AM
    0 responses
    16 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-11-2024, 12:08 PM
    0 responses
    60 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    60 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    54 views
    0 likes
    Last Post seqadmin  
    Working...
    X