Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • vcc
    Junior Member
    • Apr 2011
    • 4

    #1

    differential expression analysis of microrna generated by NGS platform

    Hi all,
    I am very much new to this NGS technology. I have already used cufflinks for transcriptome analysis as a small project. But now I am looking to get differential expression analysis of microRNA single ended reads. So my question is will it be reasonable to use cufflinks on this data too?
    If not so, kindly can I get some explanation for the same.

    Hoping to get response soon.

    thanks all.
  • Xiaomin Yu
    Junior Member
    • Jul 2011
    • 4

    #2
    You could try cuffdiff if you make your own miRNA gtf file, or you can use miRdeep2

    Comment

    • gpcr
      Member
      • May 2010
      • 18

      #3
      How to use mirdeep2 for differential expression analysis

      1. How can i use mirdeep2 outputs for differential expression analysis?

      2. which files to use? results.csv or expression.csv?

      3. how to deal with duplicate mature miRNA(with different precursors?) in the output.

      thanks for your inputs.

      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
        ...
        07-31-2026, 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, 10:13 AM
      0 responses
      14 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      29 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      22 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-23-2026, 11:41 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Working...