[BioC] AnnBuilders paseData() doesn't recognize ACCs with underscore?
Benjamin Otto
b.otto at uke.uni-hamburg.de
Thu Jan 18 16:18:19 CET 2007
Hi John,
Here comes a correction to my last email. Probably my brain is working in
power save mode today but now I'm a little bit confused:
1) gbUGParser should get genbank ids (accessions) and return unigene ids,
right?
2) NM_xxxxxx might denote reference sequences but still ARE accessions,
right? AND they are genbank identifiers.
So gbUGParser SHOULD recognize them as valid identifier.
Regards,
benjamin
-----Ursprüngliche Nachricht-----
Von: John Zhang [mailto:jzhang at jimmy.harvard.edu]
Gesendet: 17 January 2007 15:12
An: bioconductor at stat.math.ethz.ch; b.otto at uke.uni-hamburg.de
Betreff: Re: [BioC] AnnBuilders paseData() doesn't recognize ACCs with
underscore?
>
>parseData() seems to have problems in recognition of accession numbers
>including an underscore like "NM_001815". The function just doesn't
>find them although they do exist in the database file.
You have used a wrong parser. There are parsers, such as egRefseqParser and
gbNRef2LLParser, that handles RefSeq ids with undersores. You need to pick
one that fits your data.
>
>Here is the example I'm trying to get working:
>
>>library(AnnBuilder)
>>pkgpath <- .find.package("AnnBuilder")
>># unigene infos
>>ugUrl <- "C:/Programme/R/R-2.4.1/library/AnnBuilder/data/Ths.data"
>># parsing
>>ug <- UG(srcUrl = ugUrl, parser = file.path(pkgpath,
>>"scripts", "gbUGParser"), baseFile = "geneNMap",
>>organism = "Homo sapiens", built = "N/A", fromWeb = FALSE)
>>parseData(ug)
>
>The geneNMap file has the entries:
>
>32468_f_at D90278;M16652
>32469_at L00693
>NM_001815 NM_001815
>BF897514 BF897514
>38912_at D90042
>BC028014 BC028014
>D90042 D90042
>
>I get out:
> [,1] [,2]
>32468_f_at "32468_f_at" "1084;63036"
>32469_at "32469_at" "1084"
>38912_at "38912_at" "10"
>BF897514 "BF897514" "1084"
>D90042 "D90042" "10"
>
>
>Thanks a lot for your help in advance..
>
>Regards,
>
>Benjamin
>
>
>--
>Benjamin Otto
>Universitaetsklinikum Eppendorf Hamburg
>Institut fuer Klinische Chemie
>Martinistrasse 52
>20246 Hamburg
>
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Jianhua Zhang
Department of Medical Oncology
Dana-Farber Cancer Institute
44 Binney Street
Boston, MA 02115-6084
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