Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • TopHat disk space requirement?

    Dear all,

    i am trying to run TopHat on the RNA-seq datasets from Chris Burge's Lab (published in Nature 2008). However, TopHat seems to require gigantic amounts of disk space for its tmp file left_kept_reads.fq.candidate_hits.sam .
    Just using 500.000 RNA-seq reads from the liver library (32bp long single end reads) it generated a 82GB left_kept_reads.fq.candidate_hits.sam file. Final output looks reasonable though.

    Any ideas where the problem might lie ... or is that normal?

    Many thanks for your help!!

    Heather

  • #2
    Hi Heather,

    Tophat does require such a huge disk space to keep temporary files, so it should be quite normal. The reason, I believe, is that it first aligns all the raw data by bowtie, then split unmapped reads into smaller pieces and align again. Finally, it'll delete temp files by default, and thus "output looks reasonable".

    However, your 500k 1X32bp reads seems to generate too large files, compared with my experience(70M, 1X75bp), it just used up to ~100G. Did you use default parameters or specify your own?

    Hope it helps,
    -w

    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