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António Miguel de Jesus Domingues
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510
@antonio-miguel-de-jesus-domingues-5182
Last seen 9 months ago
Germany
Hi again,
I am trying DiffBind and loaded my data that looks like this:
H3K4m3
4 Samples, 13203 sites in matrix (13792 total):
ID Tissue Factor Condition Peak.caller Replicate Intervals
1 wt1 Hela H3K4me3 control1 raw 1 14111
2 wt2 Hela H3K4me3 control2 raw 2 13771
3 treat1 Hela H3K4me3 condition1 raw 1 14865
4 treat2 Hela H3K4me3 condition2 raw 2 13393
But I ran into problems trying to calculate the affinity scores with
dba.count:
H3K4m3 = dba.count(H3K4m3)
Error in cond$counts : $ operator is invalid for atomic vectors
In addition: Warning message:
In mclapply(arglist, fn, ..., mc.preschedule = FALSE) :
6 function calls resulted in an error
The peaks are in bed files (chr, start, end, score) and the reads are
in
SAM format.
Can anyone help me with this?
Cheers.
António
> sessionInfo()
R version 2.14.1 (2011-12-22)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] C
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods
[8] base
other attached packages:
[1] DiffBind_1.0.9 Biobase_2.14.0
loaded via a namespace (and not attached):
[1] IRanges_1.12.6 RColorBrewer_1.0-5 amap_0.8-7
edgeR_2.4.6
[5] gdata_2.11.0 gplots_2.11.0 gtools_2.7.0
limma_3.10.3
[9] zlibbioc_1.0.1
>
On 13 September 2012 18:06, António Miguel de Jesus Domingues <
amjdomingues@gmail.com> wrote:
> Hi all,
>
> I am trying to use DiffBind to compare peaks called in control vs
> condition. I have 2 replicates for each and I've also called peaks
using 2
> different peak callers (to wi, MACS and QuEST). I've also prepared a
sample
> data sheet that looks like this:
> SampleID Tissue Factor Condition Replicate Peak.caller
bamReads
> bamControl Peaks
> control Hela TF wt 1
> MACS path path path
> control Hela TF wt 1
> QuEST path path path
> control2 Hela TF wt 2
> MACS path path path
> control 2 Hela TF wt 2
> QuEST path path path
> (and the same for the conditions)
>
> My plan was to load all the data and then using diffbind selecte a
set of
> common peaks for the peak callers before proceeding with the
analysis.
> However, when I load the data (data =
dba(sampleSheet="samplesheet.csv"))
> the peaks for each caller are not recognized as a different
variable. How
> I can do that and is this silly?
>
> I could also derive a set of common peaks independently but it would
be
> neat to do it all with the same package and that seems to be
possible but I
> could not find how to do it in the documentation.
>
> Thanks,
> António
>
>
> --
> --
> António Miguel de Jesus Domingues, PhD
> Neugebauer group
> Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
> Pfotenhauerstrasse 108
> 01307 Dresden
> Germany
>
> e-mail: domingue@mpi-cbg.de
> tel. +49 351 210 2481
> The Unbearable Lightness of Molecular Biology
>
--
--
António Miguel de Jesus Domingues, PhD
Neugebauer group
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
Pfotenhauerstrasse 108
01307 Dresden
Germany
e-mail: domingue@mpi-cbg.de
tel. +49 351 210 2481
The Unbearable Lightness of Molecular Biology
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