Reproducible Research

Reproducibility is a cornerstone of scientific research. The emergence of big data and big data analysis has introduced new challenges in computational reproducibility. This is particularly the case in the field of microbiome research where differences in sample collection, DNA extraction, library generation, and computational environment can greatly affect study results. To address these challenges we have developed a series of sample processing protocols and data analysis pipelines which utilize cutting edge sample processing techniques and best practices. We have also created Singularity containers which come prepackaged with all of the tools necessary to run our pipelines.