Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Fasyr
    Junior Member
    • Jul 2016
    • 3

    Variation average coverage depth between samples

    Hi,

    I sequenced several bacterial strains from the same species using Illumina Hiseq 2500 (multiplexing). I then aligned the cleaned reads for each sample to a reference genome with Bowtie2. I observed an important variation in average coverage depth between samples ranging from 70X to 700X for one sample.
    Do you have any idea what could be the source(s) of such variation?

    Thanks
  • nucacidhunter
    Jafar Jabbari
    • Jan 2013
    • 1250

    #2
    if you mean differences in average coverage between samples (sample 1: 70x and sample 2: 700x), it is most likely due to differences in library input (unequal pooling) for sequencing which have resulted in different number of reads for each sample. So my guess is that sample with 700x coverage has around 10x more read than the sample with 70x coverage.

    If you mean differences in different region of the same sample then it is most likely due to bias in library prep.

    Comment

    • Fasyr
      Junior Member
      • Jul 2016
      • 3

      #3
      Hello,
      I mean differences in average coverage between samples.
      I confirm the sample at 700X coverage has a higher % of read identified (5.5) after sequencing than the sample at 70X (0.58).
      Thanks

      Comment

      Latest Articles

      Collapse

      • 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.

        Introduction

        The systematic characterization
        ...
        Today, 10:07 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
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        07-08-2026, 05:17 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 11:10 AM
      0 responses
      5 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-13-2026, 10:26 AM
      0 responses
      28 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      38 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Working...