Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • RNA class annotation RNASeq

    Hi,

    I am trying to to this pretty common "quantification" representation of different RNA classes in my RNA-Seq data set (meaning mRNA, tRNA, rRNA, ncRNA etc, like for example here http://journalofextracellularvesicle...#CIT0025_26760), but I can't seem to find any tools that do that - can anybody help with that?

    Thanks,

    Danielle

  • #2
    Btw. found that biotypes in ngi_visualization does the job if anybody has the same question=)

    Comment


    • #3
      Hi Danielle,

      I hope it's not to late for a suggestion. The Genecode and ENSEMBL annotations include in their gtf files per gene a field called "gene_biotype".
      If you use htseq-count (for instance), you can switch from counting the reads per gene_id to counting the reads per gene_biotype:

      Code:
       htseq-count -f bam -r pos -i gene_biotype my_alignment.bam my_genecode.gtf
      Before doing so, check if the gtf and your bam file base on the same assembly (e.g. hg19) and have the same naming for the chromosomes' name.

      Cheers,

      Michael

      Comment


      • #4
        Hi Michael,

        that's a great suggestion, thanks - unfortunately, it complains:
        Error occured when processing GFF file (line 8 of file /mnt/users/dga
        Feature ENSG00000223972.5 does not contain a 'gene_biotype' attribu
        [Exception type: ValueError, raised in count.py:53]
        I am using: gencode.v25.primary_assembly.annotation.gtf which has the same assembly and naming as my bam.
        Does that mean that the gtf files have to be "cleaned" up to not contain any empty biotypes before using?

        Thanks,

        Danielle

        Comment


        • #5
          Sorry, realized that it should be -i gene_type =)

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Current Approaches to Protein Sequencing
            by seqadmin


            Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
            04-04-2024, 04:25 PM
          • seqadmin
            Strategies for Sequencing Challenging Samples
            by seqadmin


            Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
            03-22-2024, 06:39 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          25 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          28 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          24 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-04-2024, 09:00 AM
          0 responses
          52 views
          0 likes
          Last Post seqadmin  
          Working...
          X