User:Karmella Haynes/Notebook/PcTF Genomics/2013/01/07

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## Configure Advanced Options: under Peak Detection, is set to Qseq Peak Finder by default. Leave this as-is for now.
## Configure Advanced Options: under Peak Detection, is set to Qseq Peak Finder by default. Leave this as-is for now.
## Click [Next >]. Wait a while
## Click [Next >]. Wait a while
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#  
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# Setup Attributes and Replicates: Show only grouping attributes (default). Click [Finish].
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# Window with Peak Table and other tabs should appear. Finished! Explore the data.
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* Set control 2_ and 7_aln_sorted as "yes" for "Is control?"
* Set control 2_ and 7_aln_sorted as "yes" for "Is control?"
* Set 2_aln_sorted as control for 1_aln_sorted. Set 7_aln_sorted as control for 6_aln_sorted.
* Set 2_aln_sorted as control for 1_aln_sorted. Set 7_aln_sorted as control for 6_aln_sorted.
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* <font color="red">This analysis required too much disk space</font>
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** <font color="red">This analysis required too much disk space</font>
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* Started over, but only used chromosomes 1-3 as reference templates (trying a few at a time).
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* Started over, but only used '''chromosomes 1-3''' as reference templates (trying a few at a time).
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** This worked

Revision as of 16:00, 8 January 2013

Pc-TF Genomics Main project page
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01/07/13

  • Array Star analysis

Array Star analysis

  1. Open Array Star. Windows only. This can be run on Parallels from a Mac.
  2. Click "Start Chip-Seq project..."
  3. Add Experiments to Import: Click [Add File..]
  4. Select a ###.bam file from the ChiP seq data folder (shared desktop). Click [Next >].
  5. Create binding proteins: Click [Create Binding Protein]. Binding protein label = the name of the protein that was pulled down by the antibody via ChIP. Binding site type = Unknown. Click [OK].
  6. Assign Binding Proteins to Experiments: Protein label = the appropriate binding protein (created in previous step). Click [Next >].
  7. Setup Preprocessing: Desired preprocessing = QSeq; Normalization method = none; Sequence files against which to quantify = browse to Desktop > Human Genome Ref > select all NC...gbk files.
    1. Select "Use features of type(s)" and set to "gene".
    2. Genome filtering = Discover peaks in the entire genome.
    3. Configure Advanced Options: under General, Graphs > Create Wiggle (.wig). Set Location to ChIPseq Wig Files on desktop.
    4. Configure Advanced Options: under General, Alignment Files > Create BED Alignment (.bed). Set Location to ChIPseq BED Files on desktop.
    5. Configure Advanced Options: under Peak Detection, is set to Qseq Peak Finder by default. Leave this as-is for now.
    6. Click [Next >]. Wait a while
  8. Setup Attributes and Replicates: Show only grouping attributes (default). Click [Finish].
  9. Window with Peak Table and other tabs should appear. Finished! Explore the data.


PcTF vs. H3K27me3

  • Add Experiments to Import: added 1_aln_sorted.bam (PcTF), 2_aln_sorted.bam (PcTF mock), 6_aln_sorted.bam (H3K27me3), and 7_aln_sorted.bam (H3K27me3 mock)
  • Create binding proteins: created "PcTF" for 1_aln_sorted, and "H3K27me3" for 6_aln_sorted.
  • Set control 2_ and 7_aln_sorted as "yes" for "Is control?"
  • Set 2_aln_sorted as control for 1_aln_sorted. Set 7_aln_sorted as control for 6_aln_sorted.
    • This analysis required too much disk space
  • Started over, but only used chromosomes 1-3 as reference templates (trying a few at a time).
    • This worked



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