Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • edge
    Senior Member
    • Sep 2009
    • 199

    #16
    Thanks kmcarr for your verification

    Comment

    • edge
      Senior Member
      • Sep 2009
      • 199

      #17
      Thanks for your explanation in detail, pbluescript
      You are very helpful ^^
      Do you familiar with "FPKM"?
      Based on isoforms.fpkm_tracking and genes.fpkm_tracking, how can I identify whether which transcript or gene is highly expressed, normal, lower expressed in an organism?
      For FPKM value, is it I should consider how raw input read (*.fastq) form or assembly as transcript?
      I just quite confusing the exact meaning of "Isoform-level relative abundance in Fragments Per Kilobase of exon model per Million mapped fragments".
      Can you just show me with a simple example?

      Cufflink assembly result only shown those protein-coding transcript, am I right?
      It don't shown any non-protein-coding transcript, snRNA, ncRNA,etc, am I right?

      Thanks again for advice.

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        Yesterday, 11:01 AM
      • 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.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 02:55 AM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-23-2026, 11:41 AM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-20-2026, 11:10 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Working...