Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • mandar.bobade60
    Member
    • Jun 2013
    • 14

    Genome size estimation for paired end and mate paired data

    Dear all,
    I have paired end as well as mate paired data for de novo assembly. The data size of paired end data is around 91 GB and around 100GB for mate paired data. The read length is 101 nt for paired end data.

    The query is, when I trying to estimate genome size using only paired end data with jellyfish as well as BBMAP, the peak was not coming with both the tools. With both above mentioned tools, after initial high values there is no second prominent (ideally) peak. I did cross-check with FastQC results where I got "Sequence Per base" and "GC content" tests failed. Does that mean I don't have good quality of base calling? There are no other tests which are failed than those two, no adapter contamination either.

    Can anyone tell me from existing information if I can calculate genome size or data quality is so poor that I can't calculate genome size? I did go through this link http://seqanswers.com/forums/showthread.php?t=41874, but couldn't corelate and conclude properly with my data.
    Last edited by mandar.bobade60; 02-09-2015, 11:10 PM. Reason: grammer check
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    It might help if you could post both the kmer frequency histogram, and the FastQC results.

    Comment

    Latest Articles

    Collapse

    • SEQadmin2
      Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by SEQadmin2


      I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.


      Here are nine questions we think about, in roughly the order they matter, before...
      Yesterday, 07:11 AM
    • SEQadmin2
      From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
      by SEQadmin2


      Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


      The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
      ...
      06-02-2026, 10:05 AM
    • SEQadmin2
      Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
      by SEQadmin2


      With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


      Introduction

      Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
      05-22-2026, 06:42 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 06-17-2026, 06:09 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-09-2026, 11:58 AM
    0 responses
    38 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-05-2026, 10:09 AM
    0 responses
    43 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-04-2026, 08:59 AM
    0 responses
    49 views
    0 reactions
    Last Post SEQadmin2  
    Working...