Unconfigured Ad

Collapse
X
Collapse
 
  • Page of 1
  • Filter
  • Time
  • Show
Clear All
new posts
Previous template Next
  • combi
    Junior Member
    • May 2013
    • 1
    #1

    Gene based abundance comparison in two metagenomics dataset

    Hi all,

    I am trying to compare spesific gene abundance from two assembled metagenomics datasets. Does scaffold coverage calculated for every scaffold containing the gene enough to make the data comparable?
    Tags: None
  • aipolly
    Junior Member
    • Dec 2011
    • 4
    #2
    I want to know that too

    Comment

    • rhinoceros
      Senior Member
      • Apr 2013
      • 372
      #3
      If the sequenced samples had similar DNA concentration and are expected to have similar species abundance and the metagenomic coverage is similar, then maybe. Otherwise, probably not.
      savetherhino.org

      Comment

      Previous template Next

      Latest Articles

      Collapse
      • 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
      • GATTACAT
        Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by GATTACAT
        Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
        07-01-2026, 11:43 AM
      View All

      ad_right_rmr

      Collapse

      News

      Collapse
      Topics Statistics Last Post
      UC San Diego Bioengineers Map Gene Function in Human Stem Cells by SEQadmin2
      Started by SEQadmin2, 07-13-2026, 10:26 AM
      0 responses
      20 views
      0 reactions
      		 Last Post SEQadmin2
      by SEQadmin2
      07-13-2026, 10:26 AM  
      New Analysis Splits Leukemia Into 16 Epigenomic Subgroups by SEQadmin2
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      30 views
      0 reactions
      		 Last Post SEQadmin2
      by SEQadmin2
      07-09-2026, 10:04 AM  
      Genome-Wide CRISPR Screen Uncovers Unlikely Psoriasis Target by SEQadmin2
      Started by SEQadmin2, 07-08-2026, 10:08 AM
      0 responses
      17 views
      0 reactions
      		 Last Post SEQadmin2
      by SEQadmin2
      07-08-2026, 10:08 AM  
      Engineered Protein Motor Takes Its First Steps Along DNA Track by SEQadmin2
      Started by SEQadmin2, 07-07-2026, 11:05 AM
      0 responses
      34 views
      0 reactions
      		 Last Post SEQadmin2
      by SEQadmin2
      07-07-2026, 11:05 AM  
      View All
      Working...