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okay so um as i talk about um in part one weamp;#39;re like doing the alignment and quality control of our ar chipset data and then in part two itamp;#39;s more like looking over public available ar data set to get a feeling of some quality control but as we mentioned for chipseek we still want some downstream analysis followed by our part one and in lecture you talked we talked about motive finding and so so this picture is copied from shirley slide um so you can imagine tf2 as our ar transcriptional factor and when we put on ar if if there are some other transcriptional factors that are binding with it or like co-interacting with it binding to the same dna region then since theyamp;#39;re so close even though our antibody only binds to tf2 tf1 and its dna will be put down as well so thatamp;#39;s how we define co-interacting tfs and then by because if you take a look at our output bat file from part one itamp;#39;s essentially just some chromosome start restart of a peak region
