This is likely due to the upgrade from Cufflinks 1.3.x to Cufflinks 2.0.x; 
Cufflinks 2.0 introduced a new algorithm for Cuffdiff in particular. You can 
read about these changes on the website:
http://cufflinks.cbcb.umd.edu/ (and there's a manuscript describing the changes 
as well).

You might consider writer to to the tool authors directly for more details: 
tophat.cuffli...@gmail.com Of course, please consider sharing anything you 
learn with members of this list as well.

Best,
J.



On Mar 13, 2013, at 12:06 PM, Mohammad Heydarian wrote:

> We are having the exact same issue, on the main server and our (recent) cloud 
> instances.
> 
> Were some of the hidden Cuffdiff parameters modified since fall 2012? 
> 
> Cheers,
> Mo Heydarian
> 
> On Mar 13, 2013 11:02 AM, "Jenna Smith" <jes...@case.edu> wrote:
> Hi,
> 
> I'll preface my concern by saying that I'm a novice to Cufflinks.  Back in 
> September, I performed a Cuffdiff analysis comparing a wild-type and mutant 
> condition.  The analysis returned ~800 transcripts differentially regulated 
> between the two with statistical significance.  Recently, I've rerun the 
> Cuffdiff analysis - using exactly the same files stored in Galaxy for all 
> inputs, and with all the same parameters - and only get a few dozen 
> statistically significant hits.  However, all of the data besides the p and q 
> values are essentially identical between these two runs, so I am really 
> unclear as to what is causing the difference.  Here is just one clear example:
> 
> From run 1:
> YFR026C
> FPKM 1 = 17.2434
> FPKM 2 = 196.735
> log2(fold change) = 3.51214
> p = 1.64E-8
> q = 7.33E-6
> significant = yes
> 
> From run 2:
> YFR026C
> FPKM 1 = 14.4489
> FPKM 2 = 144.939
> log2(fold change) = 3.32641
> p = 0.000170034
> q = 0.0719964
> significant = no
> 
> The second Cuffdiff analysis shows there is still a ~10-fold difference 
> between conditions, but this is not statistically significant.  Has the 
> version of Cuffdiff on Galaxy been updated such that some parameters have 
> changed, that could explain this difference?  Or, is there some setting I am 
> missing that would cause very large changes to fail statistical significance 
> testing?  Any help or input would be appreciated, I am really at a loss for 
> why executing what should be exactly the same task is giving vastly different 
> results.  I could just be overlooking something very fundamental that is 
> obvious to someone with more experience with this program.  Thanks.
> 
> -Jenna Smith
> 
> 
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