Entering edit mode
Hi,
except from saying that genotyping is a much harder problem than CN
analysis, I'll only comment on the CN questions below.
On Wed, Mar 17, 2010 at 9:45 PM, jeremy wilson
<jeremy.wilson88 at="" gmail.com=""> wrote:
> Thanks for the reply dear Benilton..
[snip]
> In my case, how should I do the CNV analysis with only 8 samples.
Are
> there any other packages or adjustments you can suggest me to
> compensate for the small sample size?
We also developed the CRMA copy-number methodology such that it is
possible to do the preprocessing on a single hybridization. You still
need a reliable reference in order to calculate CN ratios. You don't
say what your samples are, but if they are paired tumor-normals, you
can run CRMAv2 for the tumor and the matched normal and get
high-quality tumor-normal CN ratios (you won't get better results if
you have more arrays). If you don't have paired data, you might be
able to use the robust average of the 8 samples as your reference -
again it may depend on what your samples are. Using an external
reference (or pool of reference samples) is doable, but you will
definitely get better signal-to-noise ratios if you use an internal
(same lab) reference.
The CRMAv2 method is implemented in the aroma.affymetrix package:
http://www.aroma-project.org/
(there you'll also find references to the method)
It is even possible to do LOH with small data sets, even better so in
paired tumor-normal settings, but we don't have a nice pipeline setup
for this yet.
/Henrik
>
> Please let me know
> Thank you
>
> On Wed, Mar 17, 2010 at 12:17 PM, Benilton Carvalho
> <beniltoncarvalho at="" gmail.com=""> wrote:
>> Hi Jeremy,
[snip]
>> About the sample size, you need at least 10 samples to use
>> crlmm::computeCopynumber.
>>
>> b
>>
>> On Wed, Mar 17, 2010 at 4:45 PM, jeremy wilson
>> <jeremy.wilson88 at="" gmail.com=""> wrote:
>>> Dear all,
[snip]
>>> One more question: I have only 8 arrays from the same lab and I
need
>>> to do LOH and copy number analysis. Will the small number of
arrays be
>>> problematic?
>>>
>>> Awaiting for your reply,
>>> Thank you
>>> JW
>>>
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>>
>
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