<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/postercheatsheet-for-rbioc-package-genomation/"></div></div><div><a data-url="https://www.r-bloggers.com/postercheatsheet-for-rbioc-package-genomation/" data-counturl="https://www.r-bloggers.com/postercheatsheet-for-rbioc-package-genomation/" data-count="horizontal" data-text="Poster/cheatsheet for R/BioC package genomation" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://zvfak.blogspot.com/2016/10/postercheatsheet-for-rbioc-package.html"> Recipes, scripts and genomics</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>We prepared a poster/cheatsheet for the bioconductor package <a target="_blank" rel="nofollow" href="https://bioconductor.org/packages/release/bioc/html/genomation.html">genomation</a>, which is a package for summary and annotation of genomic intervals. Users can visualize and quantify genomic intervals over pre-defined functional regions, such as promoters, exons, introns, etc. The genomic intervals represent regions with a defined chromosome position, which may be associated with a score, such as aligned reads from HT-seq experiments, TF binding sites, methylation scores, etc. The package can use any tabular genomic feature data as long as it has minimal information on the locations of genomic intervals. In addition, It can use BAM or BigWig files as input. <b>[download from slideshare for a better resolution]</b></div>
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<div><iframe height="934" allowfullscreen="" width="668" src="http://www.slideshare.net/slideshow/embed_code/key/3wshkHjSBQCWEB"> </iframe>
<div> <strong> <a title="Poster/cheatsheet for R/BioC package genomation" target="_blank" rel="nofollow" href="https://www.slideshare.net/altunaakalin/postercheatsheet-for-rbioc-package-genomation">Poster/cheatsheet for R/BioC package genomation</a> </strong> from <strong><a target="_blank" rel="nofollow" href="https://www.slideshare.net/altunaakalin">Altuna Akalin</a></strong> </div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://zvfak.blogspot.com/2016/10/postercheatsheet-for-rbioc-package.html"> Recipes, scripts and genomics</a></strong>.</div>
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