Speakers
Description
Over the last few years, evolutionary biologists have tagged with short sequences the individuals of bacterial populations, yeast populations, and cancer cells to understand better the eco-evolutionary dynamics that shape their biodiversity, as well as the dynamics that govern microbial communities. A crucial technical stepping stone for understanding these questions is quantifying these barcoded populations after amplicon sequencing. We have developed barbac, an R-package that allows extracting, clustering, and merging barcodes in a time series. Compared to other similar pipelines, barbac offers the possibility of using several clustering methods, graphic visualisations of the metadata, an interactive format through a shiny app. The versatility of barbac allows having wide applications in bioinformatics and text analysis.
