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#1 |
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Location: UK Join Date: Jun 2011
Posts: 61
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I have the following dataset:
wild type: 2 male biol ChIP replicates for TF A 2 female biol ChIP replicates for TF B 1 male ChIP sample for TF C 1 male ChIP sample for TF D 1 male input sample (from one of the animals used for one of the samples for TF A) 1 female input sample (from one of the animals used for one of the samples for TF A) knockouts: 1 male ChIP sample for TF A 1 pooled (male+female) ChIP sample for TF B All animals are of similar age. The main interest is the contrast between knockouts and wild types for TF A and TF B. I have the following questions: (1) Does it make sense to take into account the samples for TF C and TF D? (2) Does it make sense to take into account the sex (no sex-specific is effect is specifically expected)? (3) How to make the best possible use of this data and which tool would you recommend? I have used macs. I am also aware about DiffBind, MEDIPS, diffreps and DBChIP but haven't used any of them so any specific recommendation regarding a tool and a workflow (if more than one tool is to be used) is most welcome. ps. I cross-posted this on biostars: http://www.biostars.org/p/80829/ |
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chip-seq, replicates |
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