Unconfigured Ad

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

    Understanding sailfish-cir results

    Hi, I have a problem trying to understand/interpret the results of the sailfish-cir. I went through the manual and article a few times, but I still don't fully grasp the interpretation of it.

    Supposedly I saw a putative back splice junction (BSJ) coordinate produced by CIRI (circular RNA identifier by Gao et al (2015)) - chr17:43057051|43115779 - corresponding to BRCA1. Sailfish-cir will generate a TPM value for the said coordinate as well. And from my understanding of the article (and the developer), the value is actually a proportion of circRNA and linear transcripts. However, sailfish-cir also produces TPM values pertaining to the transcript IDs of BRCA1. I.e., There is a fair chance that all of the transcript IDs related to BRCA1 would should a TPM value.

    So my question are:

    1) How should I go about interpreting the information? Should I see TPMs that are related to BRCA1 or only for the BSJ's? 2) Is the TPM for BSJ only for BSJ? 3) Is the TPM for transcript IDs only for respective transcript? 4) If I want to know how does the expression of circRNA (i.e., the BSJ's) is presenting, how should I go about analyzing it? 5) Supposedly points 2 & 3 are true, is the ratio of circRNA suppose to be calculated as (BSJ) / (BSJ + transcript ID)?

    Hope someone can help clarify these confusion. Thank you.

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

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 07-13-2026, 10:26 AM
0 responses
24 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-09-2026, 10:04 AM
0 responses
34 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-08-2026, 10:08 AM
0 responses
21 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-07-2026, 11:05 AM
0 responses
34 views
0 reactions
Last Post SEQadmin2  
Working...