In this episode, <a href="https://tpq.github.io/">Thom Quinn</a> and I explore different ways
to transform and analyze relative data arising in genomics.

We also discuss
<a href="https://cran.r-project.org/web/packages/propr/index.html">propr</a>, Thom’s R
package to compute various proportionality measures.

 

 
 Links:

<ul>
 <li><a href="http://biorxiv.org/content/early/2017/02/01/104935">Thom’s preprint about propr</a> — 
 take a look if you feel lost in all the quantities that we discuss :)</li>
 <li><a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004075">David Lovell original paper introducing proportionality for relative data</a>
 and a <a href="http://journals.plos.org/ploscompbiol/article/file?type=supplementary&amp;id=info:doi/10.1371/journal.pcbi.1004075.s011">very detailed appendix</a></li>
 <li><a href="https://www.ncbi.nlm.nih.gov/pubmed/26762323">Ionas Erb’s paper introducing the ρ metric</a></li>
 <li><a href="https://cran.r-project.org/web/packages/propr/vignettes/">Vignettes for propr</a></li>
</ul>

#6 Allele-specific expression

A podcast about computational biology, bioinformatics, and next generation sequencing.