DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS data analysis, while providing a complete, reliable, and automatic pipeline. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2684-x
MitoSIS (Mitochondrial Species Identification System) is a wrapper for mitochondrial genome assembly and identification of sample contamination or mislabeling.
Escape if you can! A radiological event has occurred and you have to find your way out. Pick up items along the way that may help or harm you. When you've accumulate too much radiation it's game over.
Python based machine-learning scripts that generate real-time predictions of the water quality on the shores of the larger Montreal island for the water activities aficionados The predictions are displayed online interactively on an OpenShift server built with the LAMP stack.