Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Dessi
    Member
    • May 2013
    • 14

    #1

    assigning function to genomic coordinates

    Hi All,

    I have analysed RNA-seq data and I have a bed file with genomic coordinates of mismatches to the genome (potential RNA-editing sites). I would like to know if each mismatch position is in an intron, exon, lncRNA, UTR, etc.. What is the best way to intersect my bed file with a file with genomic features (would that be a gtf file?) Thank you!
  • swbarnes2
    Senior Member
    • May 2008
    • 910

    #2
    BEDTools can intersect a .bed file with a .gtf file with the intersectBed command.

    Comment

    • Dessi
      Member
      • May 2013
      • 14

      #3
      Thank you so much swbarnes2,

      It worked quite well. I intersected my bed file containing the snp positions with the Gencode mouse gtf file.
      However, for each genomic position the intersection output contains lines for the gene, the transcript and the exon.
      I have been looking how I can use awk to leave only the lines for the most detailed feature ( for example the exon) and delete the lines for gene and transcript. I want to do that in order to estimate if my potential editing sites are predominantly in exons, introns, intergenic regions, lncRNAs, Belements, etc.. Is there a way to achieve that?

      For example for the position chr1 4687943-4687944 the intersection contains:

      chr1 HAVANA gene 4687934 4689403
      chr1 HAVANA transcript 4687934 4689403
      chr1 HAVANA exon 4687934 4689403

      How can I leave only the lines containing the exon feature? And so on for every position in the entire file? Note sometimes exon would not be present and the feature for a given genomic position will be UTR or CDS.

      Thank you!!!

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        You could do this simply with creative use of "grep" and its exclude option.

        For example:

        Code:
        $ cat your_file | grep -v "gene" | grep "exon"
        First grep would exclude all lines that have word "gene" and then keep only ones that have the word "exon" eliminating the rest in the second grep.


        Code:
        $ cat your_file | grep "exon"
        Would only keep lines that have word "exon". Redirect the output to a file to capture the results in a new file.

        Comment

        • GenoMax
          Senior Member
          • Feb 2008
          • 7142

          #5
          Awk versions:

          To keep lines containing word "exon"

          Code:
          $ cat your_file | awk '/exon/'
          "grep -v" equivalent to exclude lines with word "exon":

          Code:
          $ cat your_file | awk '!/exon/'

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