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From 09/29/2019 to 10/28/2019

10/28/2019

01:33 PM Feature #104 (Resolved): Summary table of mRNA and proteomics analysis for identified gene targets, protein level mean abundance per group added.
a single excel file with protein and mRNA data for all time points, including mean protein intensity per group, p-val... Thys Potgieter

10/22/2019

02:20 PM Feature #103 (Resolved): Median group intensity added to output for visualization of proteomics target expression profiles
log2FC of iBAQ intensity, median values in differential abundance output tables (in addition to Fold Change). For dat... Thys Potgieter

10/04/2019

01:30 PM Support #90 (Resolved): QC of aligned reads
The distinction appears to be as a result of tissue vs cell culture samples. Jon Ambler
01:29 PM Support #101 (New): Secondary analysis: Transcription factor and pathway enrichment
Now that we have groups of candidate genes, we want to find out which genes will function better as biomarkers.
T...
Jon Ambler
01:25 PM Support #100 (Resolved): Time seres analysis
A python script to profile the time series data was created.
This script takes in the expression info from the dif...
Jon Ambler
01:21 PM Support #100 (In Progress): Time seres analysis
Time series analysis was done using deseq2, and saved as an R script.
Exported the results to csv files
Jon Ambler
01:19 PM Support #100 (Resolved): Time seres analysis
Looking at the time series data for the samples, we needed to compare the expression of the different conditions (FKN... Jon Ambler
01:19 PM Support #92 (Resolved): Differential expression analysis
Jon Ambler
01:17 PM Support #92: Differential expression analysis
Initial differential analysis completed, comparing all groups in the tissue data set.
Results handed over.
Jon Ambler
 

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