Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Chirag
    Member
    • Nov 2011
    • 23

    why does Cufflink does not report strand information for unspliced reads

    Hi there,

    I have been using cufflink to predict transcript, but cufflink does not provide strand info on it. Could someone please suggest me how to solve that.
    This is how i run the program

    # Mapping of reads by tophat
    tophat --num-threads 7 --solexa-quals --output-dir Transcript_Mapped/Eggs --butterfly-search /export/data/alignment_references/bowtie/danRer7 Raw_Reads/Eggs_fastq


    # Construction of trasncripts
    cufflinks --output-dir Eggs/ --num-threads 4 --frag-bias-correct /export/data/alignment_references/bowtie/danRer7.fa --multi-read-correct --upper-quartile-norm /home/chirag/Projects/danRer7_RNASeq/Project_FM009/Transcript_Mapped/Eggs/accepted_hits.bam

    # Merge transcripts
    cuffmerge --num-threads 6 -s /export/data/alignment_references/bowtie/danRer7.fa -o Version-1 assemblies.txt



    Transcript.gtf and Merge.gtf is now covered into .bed

    chr1 1906 4188 CUFF.1.1 1000 . 0 0 0 1 2282, 0,
    chr1 39115 39565 CUFF.2.1 1000 . 0 0 0 1 450, 0,
    chr1 39666 39981 CUFF.3.1 1000 . 0 0 0 1 315, 0,
    chr1 1 745 CUFF.4.1 1000 . 0 0 0 1 744, 0,
    chr1 36295 36812 CUFF.5.1 1000 . 0 0 0 1 517, 0,
    chr1 4343 35664 CUFF.6.1 1000 - 0 0 0 4 829,86,65,858, 0,6063,6921,30463,
    chr1 4343 27499 CUFF.6.2 1000 - 0 0 0 4 829,86,65,837, 0,6063,6921,22319,


    We can see when the transcript is unspliced, it is unable to predict the strand.
    Even if i look at the GTf file, there is no strand information.


    The RNASeq data i used is 76 bp long, from Illumina, and has not strand information.
    As far as i am aware, Cufflink should be able to predict the strand irrespective of the strand specific RNASeq data. I guess, it is not because of low coverage, since we have around 250 million reads per sample.

    Could you please suggest me on this, how can this be solved ?
    Is there any parameters which i have missed while making the transcripts ?

    Thanks for your help in advance !

    regards
    Chirag
  • Simon Anders
    Senior Member
    • Feb 2010
    • 995

    #2
    How do you think cufflinks predicts the strand information if it is not in the data?

    Of course it does not have magic omniscience. Rather, it looks at splice sites to infer the strand. (The splice donor on the 5' side of an intron is (nearly) always GU, the splice acceptor on the 3' side is AG.) If there is no intron, this will not work.

    Comment

    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
    15 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    29 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    16 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    33 views
    0 reactions
    Last Post SEQadmin2  
    Working...