Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • wilson90
    Member
    • May 2012
    • 48

    Cufflinks runtime

    Dear all,

    I have a pair-end RNA sample (80 millions reads in total), which has been aligned using tophat2, and run cufflinks on it. It has been 1 day but the program is still at the "Inspecting reads and determining fragment length distribution." phase. Is there anything wrong? Is there a case where Cufflinks went into infinite looping?

    I use -g options. My Cufflinks is not of the latest version. I am running it on a clustered server.

    Thank you.

    Wilson
  • wilson90
    Member
    • May 2012
    • 48

    #2
    Additional information on command:
    cufflinks -g refGenes.gtf -p 35 -u -N --total-hits-norm -b genome.fa -q accepted_hits.bam

    Comment

    • gesdys
      Junior Member
      • Jun 2013
      • 5

      #3
      I have the same problem, cufflink it's very very slow, and apparently it's not using the multithreading (option -p) properly. I don't know whether this is a bug or is the way they created.

      Comment

      • amarth
        Member
        • Dec 2012
        • 14

        #4
        Cufflinks takes a couples of hours with small samples, I've run 60 millions reads and it takes around 10 hours to complete, I have a Linux Workstation with these specs:

        Dual-Core Intel Xeon Processor 5150, 4Cores, 2.66 GHz,, 16 GB DDR2 RAM and 1 TB HDD


        If you're thinking if it's a problem, I recommend you to add the option [verbose] to make Cufflinks a little more informative of what's going on.

        Samples Quality ALSO plays an important role to the time it takes to analize transcripts

        Salutes

        Comment

        • gesdys
          Junior Member
          • Jun 2013
          • 5

          #5
          did you check if the multi threading is working correctly?

          Comment

          • sdriscoll
            I like code
            • Sep 2009
            • 436

            #6
            i'm not certain about this but i think there's a difference between multi-threadded programming (using multiple cores on a single workstation) and parallel programming (for a computing cluster). cufflinks is most certainly designed for multi-threadded execution on a single workstation but I don't think it's designed to fork it's processing across many different nodes on a cluster. I could be completely wrong but when running cufflinks on a cluster I think you're limited to the resources of a single node.

            For 80 million reads, however, it shouldn't take very long at all to get through that first stage of determining the fragment length distribution and I'm not sure if that part even runs more than a single thread anyways. of course this depends on the CPU of the node you're running it on. imaging running 'samtools flagstat' on an alignment file - that's essentially what that step is with a bit of extra code. the multithreadded part is when it starts the assembly/quantification part. if you're using the '-b' option you're in for TWO trips through that process. that should also be the longest part of the process.
            /* Shawn Driscoll, Gene Expression Laboratory, Pfaff
            Salk Institute for Biological Studies, La Jolla, CA, USA */

            Comment

            • gesdys
              Junior Member
              • Jun 2013
              • 5

              #7
              I'm using a single workstation, and I checked: I used the verbose option, so I was able to see almost everything.
              when it was calculating the number of reads for each transcript (this is a multithread part), it used more than one thread just for few transcript, then it started to use only one thread for all the other (that's why takes so long)...
              I also check other programs such as bowtie and tophat and both of then are using multithreading perfectly...
              so I really thing this is a bug of the last version of cufflinks...
              hope they are gonna fix it, otherwise for huge dataset it will take forever...

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
                by SEQadmin2


                Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


                The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
                ...
                06-02-2026, 10:05 AM
              • SEQadmin2
                Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
                by SEQadmin2


                With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


                Introduction

                Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
                05-22-2026, 06:42 AM
              • SEQadmin2
                Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
                by SEQadmin2

                Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


                Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
                05-06-2026, 09:04 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 06-02-2026, 12:03 PM
              0 responses
              19 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-02-2026, 11:40 AM
              0 responses
              14 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 05-28-2026, 11:40 AM
              0 responses
              29 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 05-26-2026, 10:12 AM
              0 responses
              31 views
              0 reactions
              Last Post SEQadmin2  
              Working...