Nimblegen Chip on Chip Data analysis - Data analysis (Nov/10/2008 )
We performed Chip on Chip data (promoter array) with nimblegene, I dont find there technical support very supportive and informative about the data, However I would like to mention that a ChipMonk software is very useful in analysing chip on chip data and is pretty much simple and user friendly (http://www.bioinformatics.bbsrc.ac.uk/projects/chipmonk/). I have tried to search this forum when I was struggling to analyze the data and could not find a mention of such software and thought that might share the information with fellow researchers.
-honeyhappy-
QUOTE (honeyhappy @ Nov 10 2008, 08:17 AM)
We performed Chip on Chip data (promoter array) with nimblegene, I dont find there technical support very supportive and informative about the data, However I would like to mention that a ChipMonk software is very useful in analysing chip on chip data and is pretty much simple and user friendly (http://www.bioinformatics.bbsrc.ac.uk/projects/chipmonk/). I have tried to search this forum when I was struggling to analyze the data and could not find a mention of such software and thought that might share the information with fellow researchers. 

Cheers for the link! I'll have a go and see how it compares with our data analysis. I take it you gave up on using R/bioconductor?
Clare
-Clare-
QUOTE (Clare @ Nov 11 2008, 01:58 AM)
QUOTE (honeyhappy @ Nov 10 2008, 08:17 AM)
We performed Chip on Chip data (promoter array) with nimblegene, I dont find there technical support very supportive and informative about the data, However I would like to mention that a ChipMonk software is very useful in analysing chip on chip data and is pretty much simple and user friendly (http://www.bioinformatics.bbsrc.ac.uk/projects/chipmonk/). I have tried to search this forum when I was struggling to analyze the data and could not find a mention of such software and thought that might share the information with fellow researchers. 

Cheers for the link! I'll have a go and see how it compares with our data analysis. I take it you gave up on using R/bioconductor?
Clare
Yes you are right Chip MOnk is pretty sinple and straight foraward.
-honeyhappy-