Hello all,

I need to answer some reviews questions and I'm trying to use some encode data.

I have a chip-seq data for one transcription factor (TF) in H1 ES cells. Now I 
need to prove the reviewers that this TF doesn't bind to regions with DNA 
methylation and bind preferentially to regions without a nucleosome. What I did 
was:

Load my Chip-seq data as a bed file into the genome browser. In the table 
option, It has in the summary/statistic a item count of 29,740.

In the table option, load the group: regulation, track: HAIB Methyl-seq, table: 
H1-hESC1 (wgEncodeHudsonalphaMethylSeqRegionsRep1H1hesc)

Then, I used the filter option: score > 10 (to get the regions methylated). 
This 
gave me in the summary/statistic a item count of 42,263.

Next I created an intersection marking only the option that hane any 
intersection with my TF track: All 
wgEncodeHudsonalphaMethylSeqRegionsRep1H1hesc 
records that have any overlap with User Track 


This gave a item count of only 34. Proving they are mutually exclusive.

I did the same, using my TF track or the Methyl-seq track from encode against 
the track UW DNAseI HS (wgEncodeUwDnaseSeqPeaksRep1H1es) (I didn't set any 
threshold in the filter).

Finally, I created a venn diagram showing the item count of the three groups 
and 
their intersections, proving my TF doesn't bind to methylated DNA and mostly 
bindind to DNAseI hipersensitive regions. As expected it also shows that DNAseI 
HS and DNA methylation are mutually exclusive.

Do you guys think I did it riqht? Any suggestion?

Thanks!

Daniel




 

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Enviadas: Sexta-feira, 1 de Julho de 2011 15:30:49
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