N2 vs Cpb3

10 April 2015

Genewise expression level

Spreadsheet, voom plot

192 with fdr<=0.01

440 with fdr<=0.05



Raw data format: N2-rep1; N2-rep2; N2-rep3; Cpb3-rep1; Cpb3-rep2; Cpb3-rep3
7490 of 31753 features kept after filtering
(required at least one sample with 50 reads)
df = 7.125944
sd = 0.938941
noise combined p-value = 1.000000
noise fit score = 0.448957 bits

Genewise tail length

Spreadsheet

0 with fdr<=0.01

23 with fdr<=0.05



Raw data format: N2-rep1; N2-rep2; N2-rep3; Cpb3-rep1; Cpb3-rep2; Cpb3-rep3
6413 of 31753 features kept after filtering
(required sufficient samples with 50 poly(A) reads to fit linear model)
df = 14.458440
variance = 30.361469^2 / reads + (0.037725 * avgtail)^2
noise combined p-value = 0.388383
noise fit score = 3.697246 bits