%0 Journal Article %1 Yin2012 %A Yin, Tengfei %A Cook, Dianne %A Lawrence, Michael %D 2012 %J Genome Biology %K cancer-research fulltext r software %N 8 %P R77 %R 10.1186/gb-2012-13-8-r77 %T ggbio: an R package for extending the grammar of graphics for genomic data %U https://doi.org/10.1186/gb-2012-13-8-r77 %V 13 %X We introduce ggbio, a new methodology to visualize and explore genomics annotationsand high-throughput data. The plots provide detailed views of genomic regions,summary views of sequence alignments and splicing patterns, and genome-wide overviewswith karyogram, circular and grand linear layouts. The methods leverage thestatistical functionality available in R, the grammar of graphics and the datahandling capabilities of the Bioconductor project. The plots are specified within amodular framework that enables users to construct plots in a systematic way, and aregenerated directly from Bioconductor data structures. The ggbio R package isavailable athttp://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html.

@article{Yin2012, abstract = {We introduce ggbio, a new methodology to visualize and explore genomics annotationsand high-throughput data. The plots provide detailed views of genomic regions,summary views of sequence alignments and splicing patterns, and genome-wide overviewswith karyogram, circular and grand linear layouts. The methods leverage thestatistical functionality available in R, the grammar of graphics and the datahandling capabilities of the Bioconductor project. The plots are specified within amodular framework that enables users to construct plots in a systematic way, and aregenerated directly from Bioconductor data structures. The ggbio R package isavailable athttp://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html.}, added-at = {2020-12-22T13:39:56.000+0100}, author = {Yin, Tengfei and Cook, Dianne and Lawrence, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2138713ea5ca13c892aa9a3c8b67e0306/marcsaric}, day = 31, description = {ggbio: an R package for extending the grammar of graphics for genomic data | SpringerLink}, doi = {10.1186/gb-2012-13-8-r77}, interhash = {1f6d377b06fc840cb09ec1bf1b025db3}, intrahash = {138713ea5ca13c892aa9a3c8b67e0306}, issn = {1474-760X}, journal = {Genome Biology}, keywords = {cancer-research fulltext r software}, month = aug, number = 8, pages = {R77}, timestamp = {2020-12-22T13:40:25.000+0100}, title = {ggbio: an R package for extending the grammar of graphics for genomic data}, url = {https://doi.org/10.1186/gb-2012-13-8-r77}, volume = 13, year = 2012 }