There is no guarantee that a filename having a particular extension has any 
particular format inside it. You can make guesses and hope they are right, but 
the only dependable way to know what format is inside is to receive 
communication from the author about it or open it in a text or binary file 
viewer and compare what you see with the format documentation.

>From a Bayesian perspective the information on the Internet about the file 
>extension helps you narrow possibilities, but it still could be genetic data 
>if the author had something else in mind when they named the file. In any 
>event, without a sample of the data we cannot help, and if it really is 
>genetic data then you would be better off asking this question in the 
>bioconductor help forum and showing them the sample of data.
-- 
Sent from my phone. Please excuse my brevity.

On January 7, 2017 6:28:21 AM PST, Rui Barradas <ruipbarra...@sapo.pt> wrote:
>Hello,
>
>I believe you should google "c1 file extension". Apparently it has 
>nothing to do with genetic data.
>
>Hope this helps,
>
>Rui Barradas
>
>Em 06-01-2017 21:31, Jung, Su Yon escreveu:
>> Hello,
>>
>> I have a set of genetic data in .c1 file.
>> I plan to analyze using R.
>> However, I am not sure how to open the c1 file in R program (what is
>the command?) in order to look at the data?
>>
>> Please, help.
>>
>> Thank you.
>>
>>
>> Su Yon Jung, PhD, MPH
>> Assistant Professor for Translational Sciences Section
>> Jonsson Comprehensive Cancer Center
>> UCLA School of Nursing
>> 700 Tiverton Ave, Factor Bldg #3-264
>> Los Angeles, CA 90095
>> Phone: (310) 825-2840
>> Fax: (310) 267-0413
>> E-mail: sj...@sonnet.ucla.edu<mailto:sj...@sonnet.ucla.edu>;
>suy...@ucla.edu
>>
>>
>>      [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

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