visualizing genomic data
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Bogdan ▴ 670
@bogdan-2367
Last seen 13 months ago
Palo Alto, CA, USA
Dear all, I would appreciate if you can recommend any BioC package where I can display togheter a set of features/annotations (eg genes, TF binding sites), and 3C interactions data (the 3C chromosomal interactions will be represented as lines between interaction loci, or just simply as dots that count for an interaction strength at a particular position). thanks, bogdan [[alternative HTML version deleted]]
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Tengfei Yin ▴ 420
@tengfei-yin-4323
Last seen 8.6 years ago
Hi Bogdan, You could try package GenomeGraph which pull data from Biomart to create annotation tracks inside R. If you are familiar with core Bioc object like GRanges/TranscriptDb, you can try package ggio, you need to construct your data as GRanges and bundle them by tracks() function. or grid.arrange() in gridExtra package. ggbio is a new package, let me know if you come across any problem or you want to request a new feature. Or you can fire your data into UCSC genome browser inside R, check browserGenome function in package rtracklayer. Interaction between locus is tricky, I don't know about other packages(if there is any, please let me know, thanks), it could be represented as links in circular view, or links in a grand linear view, which is currently still under development in ggbio and visnab, I will keep you post it, if you would like to test some functionality. cheers Tengfei On Wed, Nov 9, 2011 at 11:30 PM, Bogdan Tanasa <tanasa@gmail.com> wrote: > Dear all, > > I would appreciate if you can recommend any BioC package where I can > display togheter a set of features/annotations (eg genes, TF binding > sites), and 3C interactions data (the 3C chromosomal interactions will be > represented as lines between interaction loci, or just simply as dots that > count for an interaction strength at a particular position). thanks, > > bogdan > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor@r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > -- Tengfei Yin MCDB PhD student 1620 Howe Hall, 2274, Iowa State University Ames, IA,50011-2274 Homepage: www.tengfei.name [[alternative HTML version deleted]]
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Hi Bogdan, You might also want to take a look at the new r3Cseq package. Marc On 11/09/2011 10:14 PM, Tengfei Yin wrote: > Hi Bogdan, > > You could try package GenomeGraph which pull data from Biomart to create > annotation tracks inside R. > > If you are familiar with core Bioc object like GRanges/TranscriptDb, you > can try package ggio, you need to construct your data as GRanges and bundle > them by tracks() function. or grid.arrange() in gridExtra package. ggbio is > a new package, let me know if you come across any problem or you want to > request a new feature. > > Or you can fire your data into UCSC genome browser inside R, check > browserGenome function in package rtracklayer. > > Interaction between locus is tricky, I don't know about other packages(if > there is any, please let me know, thanks), it could be represented as links > in circular view, or links in a grand linear view, which is currently > still under development in ggbio and visnab, I will keep you post it, if > you would like to test some functionality. > > cheers > > Tengfei > > On Wed, Nov 9, 2011 at 11:30 PM, Bogdan Tanasa<tanasa at="" gmail.com=""> wrote: > >> Dear all, >> >> I would appreciate if you can recommend any BioC package where I can >> display togheter a set of features/annotations (eg genes, TF binding >> sites), and 3C interactions data (the 3C chromosomal interactions will be >> represented as lines between interaction loci, or just simply as dots that >> count for an interaction strength at a particular position). thanks, >> >> bogdan >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at r-project.org >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor >> > >
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