Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • gcR
    Member
    • Mar 2017
    • 15

    #1

    How can I extract each APAsite possibility from this table?

    Hello,

    I have an output from APATrap package, which gives back the predicted APA sites from samples. I need to make a list from all the possibles APAs to cross it with miRNAs database and get known if there is a match. The problem is a have a huges lists from 16 samples, and I need a way to automatize this task for reproducibility.

    I have this summed up table:

    Predicted_APA.TOTAL Loci.TOTAL

    41867799,41867388,41866990 chr17:41866927-41867904

    And I need something like this:

    CHR Loci.UTR.TOTAL Locus initial Locus Final

    chr17 41866927-41867799 41866927 41867799
    chr17 41866927-41867388 41866927 41867388
    chr17 41866927-41866990 41866927 41866990

    Do you know any tip or clue to do it for 16 samples with 1000 results each one?

    Thanks in advance, and sorry if my question isn't appropriate. I will answer any question for further people in the same situation.
    Beginner @ RNA-Seq, R programming, Linux, Python.-

    Please be patients!
  • gcR
    Member
    • Mar 2017
    • 15

    #2
    I got this answer from another forum, so I add it here in case someone needs it.

    input:
    $cat test.txt

    Predicted_APA.TOTAL Loci.TOTAL
    41867799,41867388,41866990 chr17:41866927-41867904
    output:
    $awk -v FS='[-:\t]' -v OFS="\t" ' NR != 1 {split($1,a,","); for (i in a) {print $2,$3"-"a[i],$3,a[i]}}' test.txt

    chr17 41866927-41867799 41866927 41867799
    chr17 41866927-41867388 41866927 41867388
    chr17 41866927-41866990 41866927 41866990
    Beginner @ RNA-Seq, R programming, Linux, Python.-

    Please be patients!

    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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 08-06-2026, 07:41 AM
    0 responses
    14 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    31 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-31-2026, 02:55 AM
    0 responses
    40 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-24-2026, 12:17 PM
    0 responses
    26 views
    0 reactions
    Last Post SEQadmin2  
    Working...