Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Suspicious results from CuffDiff

    Hey folks
    I'm running CuffDiff from the release 0.9.2, for RNAseq. I use it with tophat, and Reference annotation for human data. Here's the simple running command:


    Code:
    cuffdiff --FDR 0.01 -N hg18_annotation01.gtf accepted_hits1.bam accepted_hits2.bam

    There are few points of concern

    first: over 90% of the genes with "status = OK" have "Significant = yes" which is kinda not so nice.

    second: that there are so many genes with very low FPKM that are among the significant ones, which can also lead to fold changes like: 1.7977e+308 !

    and third: There are genes with large FPKMs that have not been tested (status = NOTEST) , here's some sample, from the file "genes_expr.diff", with a "NOTEST gene with hight FPKM, and two low FPKM genes with test status "OK":


    Code:
    ttest_id	status	value_1	value_2	ln(fold_change)	test_stat	p_value	significant
    NR_036659	NOTEST	1119.85	6601.74	1.774 		-54.911 	0	no
    NM_001130440	OK	5.6E-09	5.7E-09	0.030 		-1.744 		0.081	no
    NM_001001977	OK	9.7E-09	1.2E-08	0.227	 	-18.416 	0	yes
    Does somebody have some idea? :-/

    thanks
    pej

  • #2
    Hi Pejman,

    Any progress with the fact that so many of the genes with "status = OK" have "Significant = yes"? Kind of seeing the same thing.

    Boel

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Best Practices for Single-Cell Sequencing Analysis
      by seqadmin



      While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
      06-06-2024, 07:15 AM
    • 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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Yesterday, 06:58 AM
    0 responses
    13 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 06-06-2024, 08:18 AM
    0 responses
    20 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 06-06-2024, 08:04 AM
    0 responses
    18 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 06-03-2024, 06:55 AM
    0 responses
    13 views
    0 likes
    Last Post seqadmin  
    Working...
    X