Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • TopHat: output is not recognized by UCSC

    Hi, we ran TopHat without a GFF3 file and the output does not appear to be recognizable wiggle and bed formats. Here is what we got (first lines) of the wiggle file:
    track type=bedGraph name="TopHat - read coverage"
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 0 46627 0
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 46627 46667 1
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 46667 48587 0
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 48587 48627 1

    And here is what we got from the bed file:
    track name=junctions description="TopHat junctions"
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 1132498 1133665 JUNC00000001
    13 + 1132498 1133665 255,0,0 2 31,21 0,1146
    gi|149258597|ref|NT_039457.7|Mm8_39497_37 1264693 1270688 JUNC00000002
    39 + 1264693 1270688 255,0,0 2 32,32 0,5963

    The program ran without errors. We think that there is a step missing that would associate the gi/NTs to chromosome coordinates. We are thus wondering what will be the way to work through this.. Is it because of the missing GFF3 file? (we could not find one for mouse, and if this is a problem, we would appreciate some pointers on how to make one) Any other suggestions?

    Thanks very much in advance!
    Last edited by geriatrics1200; 06-03-2009, 08:43 AM.

  • #2
    I had the same problem before. What you need to do is to make your own bowtie index file using 'bowtie-build' command on fa files you downloaded from UCSC site.

    Hope it helps,
    Statsteam

    Comment


    • #3
      Yep, the same I heard from author

      UCSC recognizes nothing but chr#, so have to you build your own indexes on chromosome sequences, which can downloaded from UCSC.

      Comment

      Latest Articles

      Collapse

      • seqadmin
        Essential Discoveries and Tools in Epitranscriptomics
        by seqadmin


        The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...
        Yesterday, 07:01 AM
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by seqadmin, 04-11-2024, 12:08 PM
      0 responses
      39 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      41 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 09:21 AM
      0 responses
      35 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-04-2024, 09:00 AM
      0 responses
      55 views
      0 likes
      Last Post seqadmin  
      Working...
      X