Science Daily  December 3, 2020 Researchers in Finland have developed a novel bioinformatics pipeline called Lazypipe for identifying viruses in host-associated or environmental samples. Previously they published two examples of novel and potentially zoonotic viral agents that were identified with Lazypipe from wild animals that can serve as vectors. A new ebolavirus was identified from feces and organ samples of Mops condylurus bats in Kenya, and a new tick-borne pathogen Alongshan virus from ticks in Northeast Europe. These examples demonstrate the efficacy of Lazypipe data analysis for NGS libraries with very different DNA/RNA backgrounds, ranging from mammalian tissues to pooled […]