[Bioc-sig-seq] finding the final nucleotide of trimmed reads
joseph franklin
joseph.franklin at yale.edu
Fri Aug 27 00:22:42 CEST 2010
Many thanks for all the advice. For the record, to get subseq() to work I had to flatten the trimmed reads to a character object:
trimmedseq<-as.character(sread(trimmed))
There may be a better way to accomplish that.
Then this works great:
last <- subseq(trimmedseq, start=width(trimmedseq), width=1)
consensusMatrix(last, as.prob=TRUE)
-joe
On 26 Aug 2010, at 9:26, Steve Lianoglou wrote:
> Howdy,
>
> On Thu, Aug 26, 2010 at 9:29 AM, Joern Toedling <Joern.Toedling at curie.fr> wrote:
>> Hi,
>>
>> have a look at the "shift" argument of the function consensusMatrix from
>> Biostrings.
>>
>> This code example should correspond to your question. Three nucleotide strings
>> are aligned at their last position and the sequence composition is obtained:
>>
>> A <- DNAStringSet(c("ACAT", "CAT", "AGGGCGT"))
>> maxlen <- max(nchar(A))
>> consensusMatrix(A, shift=maxlen-nchar(A), baseOnly=TRUE)
>
> Alternatively:
>
> R> last <- subseq(A, start=width(A), width=1)
> R> consensusMatrix(last)
>
> -steve
>
>> I tested this with Biostrings_2.17.29, but I guess that it works with the
>> current release version, too.
>>
>> Regards,
>> Joern
>>
>>
>> On Thu, 26 Aug 2010 07:35:01 -0500, joseph franklin wrote
>>> Hi,
>>>
>>> I've been trimming adapters from reads using trimLRPatterns. The
>>> resulting, trimmed set contains a heterogenous mix of widths: from
>>> ~18-35 nt. Can anyone guide me toward an elegant way to find the
>>> nucleotide composition of the final (right-most) cycle for each of
>>> the trimmed reads?
>>>
>>> Many thanks,
>>> Joe Franklin
>>
>> ---
>> Joern Toedling
>> Institut Curie -- U900
>> 26 rue d'Ulm, 75005 Paris, FRANCE
>> Tel. +33 (0)156246927
>>
>> _______________________________________________
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>> Bioc-sig-sequencing at r-project.org
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>>
>
>
>
> --
> Steve Lianoglou
> Graduate Student: Computational Systems Biology
> | Memorial Sloan-Kettering Cancer Center
> | Weill Medical College of Cornell University
> Contact Info: http://cbio.mskcc.org/~lianos/contact
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