Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • CummeRbund plots come out in a different way than they are in the Nature protocol

    Hi everyone,
    I am trying to complete the procedure in the Nature Protocol Paper (Differential gene and transcript expression analysis of RNA-seq experiments with Tophat and Cufflinks, by Trapnell et al.)

    The thing is that my CummeRbund plots are not similar with those in the paper. For example, the attached density plot is very different than expected. You may observe the graphs(density, scatter and volcano) in the attached pdf of the following post.

    What can I do now? Does anyone have a suggestion?

    The R commands are written as in the protocol.
    cuff_data <- readCufflinks('diff_out')
    csDensity(genes(cuff_data))
    csScatter(genes(cuff_data), 'C1', 'C2')
    csVolcano(genes(cuff_data), 'C1', 'C2')

    In the linux terminal, after executing csDensity(genes(cuff_data)) command, it gave warning messages:
    1: Removed 25 rows containing non-finite values (stat_density)
    2: Removed 25 rows containing non-finite values (stat_density)

    The reason for being different can be this removal of rows? I'm using R version 3.2.1.

    Also, there is a removal of 6 rows after the execution of volcano plot.
    Warning message: Removed 6 rows containing missing values (geom_point)

    I'd be appreciated for any comments. Thank you!
    Attached Files
    Last edited by rumeys; 07-24-2015, 03:02 PM. Reason: additional info

  • #2
    The resulting graphs:
    Attached Files

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Latest Developments in Precision Medicine
      by seqadmin



      Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

      Somatic Genomics
      “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
      05-24-2024, 01:16 PM
    • seqadmin
      Recent Advances in Sequencing Analysis Tools
      by seqadmin


      The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
      05-06-2024, 07:48 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Today, 06:55 AM
    0 responses
    11 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 05-30-2024, 03:16 PM
    0 responses
    24 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 05-29-2024, 01:32 PM
    0 responses
    27 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 05-24-2024, 07:15 AM
    0 responses
    214 views
    0 likes
    Last Post seqadmin  
    Working...
    X