Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • De novo assembly of PacBio with short Illumina data

    Hi all,

    I'm a bit stuck on assemblying a bacterial genome with PacBio and Illumina data.

    We have around 15x PacBio CLR data (average of 9kb) and 0.1x CCS data. In addition, we have some older Illumina paired-end 50bp data (100x coverage) from the GAIIx.

    My problems so far;
    - The coverage of the CCS data is too small to use for error correction with Celera Assembler.
    - The length of the Illumina reads is too small for error correction, as a size of 100bp is suggested.
    - Assemblers (like MIRA and Celera Assembler) require error corrected PacBio data, but i can't correct my data as explained above.

    Does anyone have any suggestions on how to assemble these datasets? Are there tools that do not require error corrected PacBio data, or are there tools that can error correct the PacBio data with the short Illumina dataset?

    Kind regards,
    Boetsie

  • #2
    Here are 3 approaches you can try. All require installing SMRT Analysis.

    First, with PacBio's Allora assembler, you can likely get a reasonable assembly without using the Illumina. Just feed in the PacBio long reads and CCS and see what comes out. The coverage is a bit low, but you'll make some progress at least.

    Or you can go the route of assembling the Illumina data separately, and see if you can get any larger contigs out of it. If yes, use RS_AHA_Scaffolding to join contigs with the PacBio long reads.

    Another option, even though 50bp Illumina data probably isn't long enough to reliably map for an assembly: use the RS_Allora_Assembly_EC protocol in PacBio's software, with the Illumina for EC.

    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 on Modified Bases...
      Yesterday, 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, 04-11-2024, 12:08 PM
    0 responses
    39 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 10:19 PM
    0 responses
    41 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-10-2024, 09:21 AM
    0 responses
    35 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-04-2024, 09:00 AM
    0 responses
    55 views
    0 likes
    Last Post seqadmin  
    Working...
    X