AnnotationDBI
1
0
Entering edit mode
@denise-mauldin-3688
Last seen 9.6 years ago
Hey all, >From other posts on the list it appears that AnnotationDBI has been updated for the most recent R-devel. However, I'm using the 2.5 metadata packages to get the best updated information for my databases and the hgu133a.db (and other affy) annotation packages require an AnnotationDBI that is higher than 1.7.8. Is it possible to use these packages without upgrading to R-devel? I currently have R 2.9.1 installed and I don't really want to go to a devel version. Will AnnotationDBI 1.7.13 work with R 2.9.2 or is there another way around this? Thanks, Denise [[alternative HTML version deleted]]
Annotation GO AnnotationDbi Annotation GO AnnotationDbi • 1.0k views
ADD COMMENT
0
Entering edit mode
Marc Carlson ★ 7.2k
@marc-carlson-2264
Last seen 7.7 years ago
United States
Hi Denise, Unfortunately, I the answer to your question is no. The annotation packages have had to undergo some pretty major schema changes in devel which means that they will necessarily be incompatible with the older version of AnnotationDbi that you will find in release. So you will either have to use R-devel or wait a month for R-devel to become the release version if you want to use the newer packages. In general, I would recommend against mixing packages from different releases as they are not built or tested to work properly in this context. Therefore, I would also recommend against trying to install the newer AnnotationDbi in the older version of R. For your specific case, I think you should wait a month to upgrade your annotation packages if you can do so. All the annotation packages are being refreshed as we speak so that they can be current for the upcoming release of Bioconductor. So after the new release should be an ideal time to upgrade. If you can't wait that long, then you can use R-devel with biocLite() to grab the latest packages. Marc Denise Mauldin wrote: > Hey all, > > >From other posts on the list it appears that AnnotationDBI has been updated > for the most recent R-devel. However, I'm using the 2.5 metadata packages > to get the best updated information for my databases and the hgu133a.db (and > other affy) annotation packages require an AnnotationDBI that is higher than > 1.7.8. Is it possible to use these packages without upgrading to R-devel? > I currently have R 2.9.1 installed and I don't really want to go to a devel > version. Will AnnotationDBI 1.7.13 work with R 2.9.2 or is there another > way around this? > > Thanks, > Denise > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor > >
ADD COMMENT
0
Entering edit mode
Sort of related-ly, Is there a good HOWTO type of document for packaging up Illumina annotation (CSV files/whatever) using AnnotationDbi? I don't have any problem parsing the file formats, but the vignette provided seems a bit Affy-centric and hard for me to adapt. I'm using R-devel and bioconductor-2.5 for assorted reasons. The methylation chips in particular require a little bit of chicanery, but that's not the problem; I'm having some issues figuring out how and what to put into which function so that other Bioconductor packages will know about the symbol, accession, etc. of the site being interrogated. I wrote a bit of a hack so that 'beadarray' could identify control probes and M vs. U probes on Infinium, but it's ugly and it doesn't help after summarization into an ExpressionSetIllumina or NChannelSet. I have the annotation information that I want to feed AnnotationDbi (as well as various masks, etc.) but I'm not sure how to structure it. There are a lot of (biological or sequence-related) features that can be used for probe masking on these arrays, of course, and I have been using several of them in an ad-hoc fashion (columns in a data frame with IlluminaIDs as rownames, excluding rows from the exprs matrix). I suspect there's a better way to do this, but (for example) the 'methylumi' and 'lumi' packages don't help me in this endeavor. Is there a customary place to store and operate upon probe masks, and is it separate from the annotation.db packages? Is there a good role model in terms of inheriting from a mask-able eSet class? Any assistance would be appreciated -- I'm sure these problems have been addressed before, but I just couldn't figure out where. Much obliged for anyone's time who cares to reply. --t On Fri, Sep 18, 2009 at 12:11 PM, Marc Carlson <mcarlson@fhcrc.org> wrote: > Hi Denise, > > Unfortunately, I the answer to your question is no. The annotation > packages have had to undergo some pretty major schema changes in devel > which means that they will necessarily be incompatible with the older > version of AnnotationDbi that you will find in release. So you will > either have to use R-devel or wait a month for R-devel to become the > release version if you want to use the newer packages. In general, I > would recommend against mixing packages from different releases as they > are not built or tested to work properly in this context. Therefore, I > would also recommend against trying to install the newer AnnotationDbi > in the older version of R. > > For your specific case, I think you should wait a month to upgrade your > annotation packages if you can do so. All the annotation packages are > being refreshed as we speak so that they can be current for the upcoming > release of Bioconductor. So after the new release should be an ideal > time to upgrade. If you can't wait that long, then you can use R-devel > with biocLite() to grab the latest packages. > > > Marc > > > > > Denise Mauldin wrote: > > Hey all, > > > > >From other posts on the list it appears that AnnotationDBI has been > updated > > for the most recent R-devel. However, I'm using the 2.5 metadata > packages > > to get the best updated information for my databases and the hgu133a.db > (and > > other affy) annotation packages require an AnnotationDBI that is higher > than > > 1.7.8. Is it possible to use these packages without upgrading to > R-devel? > > I currently have R 2.9.1 installed and I don't really want to go to a > devel > > version. Will AnnotationDBI 1.7.13 work with R 2.9.2 or is there another > > way around this? > > > > Thanks, > > Denise > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@stat.math.ethz.ch > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > -- Statisticians, like artists, have a bad habit of falling in love with their models. --George Box [[alternative HTML version deleted]]
ADD REPLY
0
Entering edit mode
Hi Tim, If your objective is to make a custom annotation package using AnnotationDbi, and a mapping that relates some probes to genes, then the SQLForge vignette in the AnnotationDbi package should tell you how to proceed. You can find some information on that here: http://www.bioconductor.org/packages/devel/bioc/html/AnnotationDbi.htm l If that is not what you wanted, then please let me know. Marc Tim Triche wrote: > Sort of related-ly, > > Is there a good HOWTO type of document for packaging up Illumina > annotation (CSV files/whatever) using AnnotationDbi? I don't have any > problem parsing the file formats, but the vignette provided seems a > bit Affy-centric and hard for me to adapt. I'm using R-devel and > bioconductor-2.5 for assorted reasons. > > The methylation chips in particular require a little bit of chicanery, > but that's not the problem; I'm having some issues figuring out how > and what to put into which function so that other Bioconductor > packages will know about the symbol, accession, etc. of the site being > interrogated. I wrote a bit of a hack so that 'beadarray' could > identify control probes and M vs. U probes on Infinium, but it's ugly > and it doesn't help after summarization into an ExpressionSetIllumina > or NChannelSet. I have the annotation information that I want to feed > AnnotationDbi (as well as various masks, etc.) but I'm not sure how to > structure it. > > There are a lot of (biological or sequence-related) features that can > be used for probe masking on these arrays, of course, and I have been > using several of them in an ad-hoc fashion (columns in a data frame > with IlluminaIDs as rownames, excluding rows from the exprs matrix). > I suspect there's a better way to do this, but (for example) the > 'methylumi' and 'lumi' packages don't help me in this endeavor. Is > there a customary place to store and operate upon probe masks, and is > it separate from the annotation.db packages? Is there a good role > model in terms of inheriting from a mask-able eSet class? > > Any assistance would be appreciated -- I'm sure these problems have > been addressed before, but I just couldn't figure out where. Much > obliged for anyone's time who cares to reply. > > --t > > On Fri, Sep 18, 2009 at 12:11 PM, Marc Carlson <mcarlson at="" fhcrc.org=""> <mailto:mcarlson at="" fhcrc.org="">> wrote: > > Hi Denise, > > Unfortunately, I the answer to your question is no. The annotation > packages have had to undergo some pretty major schema changes in devel > which means that they will necessarily be incompatible with the older > version of AnnotationDbi that you will find in release. So you will > either have to use R-devel or wait a month for R-devel to become the > release version if you want to use the newer packages. In general, I > would recommend against mixing packages from different releases as > they > are not built or tested to work properly in this context. > Therefore, I > would also recommend against trying to install the newer AnnotationDbi > in the older version of R. > > For your specific case, I think you should wait a month to upgrade > your > annotation packages if you can do so. All the annotation packages are > being refreshed as we speak so that they can be current for the > upcoming > release of Bioconductor. So after the new release should be an ideal > time to upgrade. If you can't wait that long, then you can use > R-devel > with biocLite() to grab the latest packages. > > > Marc > > > > > Denise Mauldin wrote: > > Hey all, > > > > >From other posts on the list it appears that AnnotationDBI has > been updated > > for the most recent R-devel. However, I'm using the 2.5 > metadata packages > > to get the best updated information for my databases and the > hgu133a.db (and > > other affy) annotation packages require an AnnotationDBI that is > higher than > > 1.7.8. Is it possible to use these packages without upgrading > to R-devel? > > I currently have R 2.9.1 installed and I don't really want to go > to a devel > > version. Will AnnotationDBI 1.7.13 work with R 2.9.2 or is > there another > > way around this? > > > > Thanks, > > Denise > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor at stat.math.ethz.ch > <mailto:bioconductor at="" stat.math.ethz.ch=""> > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch <mailto:bioconductor at="" stat.math.ethz.ch=""> > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > -- > Statisticians, like artists, have a bad habit of falling in love with > their models. > --George Box
ADD REPLY
0
Entering edit mode
On Fri, Sep 18, 2009 at 5:01 PM, Tim Triche <tim.triche@gmail.com> wrote: > Sort of related-ly, > > Is there a good HOWTO type of document for packaging up Illumina annotation > (CSV files/whatever) using AnnotationDbi? I don't have any problem parsing > the file formats, but the vignette provided seems a bit Affy-centric and > hard for me to adapt. I'm using R-devel and bioconductor-2.5 for assorted > reasons. > > The methylation chips in particular require a little bit of chicanery, but > that's not the problem; I'm having some issues figuring out how and what to > put into which function so that other Bioconductor packages will know about > the symbol, accession, etc. of the site being interrogated. I wrote a bit > of a hack so that 'beadarray' could identify control probes and M vs. U > probes on Infinium, but it's ugly and it doesn't help after summarization > into an ExpressionSetIllumina or NChannelSet. I have the annotation > information that I want to feed AnnotationDbi (as well as various masks, > etc.) but I'm not sure how to structure it. > > There are a lot of (biological or sequence-related) features that can be > used for probe masking on these arrays, of course, and I have been using > several of them in an ad-hoc fashion (columns in a data frame with > IlluminaIDs as rownames, excluding rows from the exprs matrix). I suspect > there's a better way to do this, but (for example) the 'methylumi' and > 'lumi' packages don't help me in this endeavor. Is there a customary place > to store and operate upon probe masks, and is it separate from the > annotation.db packages? Is there a good role model in terms of inheriting > from a mask-able eSet class? > > Any assistance would be appreciated -- I'm sure these problems have been > addressed before, but I just couldn't figure out where. Much obliged for > anyone's time who cares to reply. > Hi, Tim. You can fill the featureData slot of an ExpressionSet- derived class with a data frame of probe-specific information and seamlessly use that to subset that object. In the case of methylumi (on which I can comment directly), the featureData slot is filled with as many annotation columns as it can find in the raw data file. Is there a reason that the featureData does not meet your needs for subsetting? Sean > --t > > On Fri, Sep 18, 2009 at 12:11 PM, Marc Carlson <mcarlson@fhcrc.org> wrote: > > > Hi Denise, > > > > Unfortunately, I the answer to your question is no. The annotation > > packages have had to undergo some pretty major schema changes in devel > > which means that they will necessarily be incompatible with the older > > version of AnnotationDbi that you will find in release. So you will > > either have to use R-devel or wait a month for R-devel to become the > > release version if you want to use the newer packages. In general, I > > would recommend against mixing packages from different releases as they > > are not built or tested to work properly in this context. Therefore, I > > would also recommend against trying to install the newer AnnotationDbi > > in the older version of R. > > > > For your specific case, I think you should wait a month to upgrade your > > annotation packages if you can do so. All the annotation packages are > > being refreshed as we speak so that they can be current for the upcoming > > release of Bioconductor. So after the new release should be an ideal > > time to upgrade. If you can't wait that long, then you can use R-devel > > with biocLite() to grab the latest packages. > > > > > > Marc > > > > > > > > > > Denise Mauldin wrote: > > > Hey all, > > > > > > >From other posts on the list it appears that AnnotationDBI has been > > updated > > > for the most recent R-devel. However, I'm using the 2.5 metadata > > packages > > > to get the best updated information for my databases and the hgu133a.db > > (and > > > other affy) annotation packages require an AnnotationDBI that is higher > > than > > > 1.7.8. Is it possible to use these packages without upgrading to > > R-devel? > > > I currently have R 2.9.1 installed and I don't really want to go to a > > devel > > > version. Will AnnotationDBI 1.7.13 work with R 2.9.2 or is there > another > > > way around this? > > > > > > Thanks, > > > Denise > > > > > > [[alternative HTML version deleted]] > > > > > > _______________________________________________ > > > Bioconductor mailing list > > > Bioconductor@stat.math.ethz.ch > > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > > Search the archives: > > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@stat.math.ethz.ch > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > > > -- > Statisticians, like artists, have a bad habit of falling in love with their > models. > --George Box > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > [[alternative HTML version deleted]]
ADD REPLY

Login before adding your answer.

Traffic: 875 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6