Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Sealzad
    Junior Member
    • Feb 2018
    • 6

    #1

    Advice on using sailfish-cir's output to justify circular RNA (circRNA)

    Hi,

    I have a problem trying to focus on a specific gene to study for circRNA.

    In my work, I have both control and diseased condition. I generated circRNA from circular RNA identifier (CIRI2) as well as "quantified" it with sailfish-cir for each condition. From my understanding, CIRI2 presents results based on gene level (Ensembl gene ID), and feature them in terms of coordinates. Sailfish-cir presents results based on transcript level. So their IDs are Ensembl transcript's. But a gene ID can have multiple transcript ID. So how does one consider which transcript to focus on? Rather, how does one make the comparison, or focus on which genes?

    Another question is how does one interpret the TPM value presented in sailfish-cir? Does it mean a proportion of both circRNA and linear fragments per million transcripts? So if the disease has like a value of 5 for TPM and the control has 2, what does it really mean? How does one say it in layman terms?

    Thank you.

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

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 08-13-2026, 12:22 PM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-11-2026, 10:35 AM
0 responses
19 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-06-2026, 07:41 AM
0 responses
33 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 08-03-2026, 10:13 AM
0 responses
51 views
0 reactions
Last Post SEQadmin2  
Working...