high-performance-computational-clusters

Mangul Lab publishes first paper, a novel tool for managing bioinformatics analyses

Mangul Lab publishes first paper, a novel tool for managing bioinformatics analyses

We are proud to announce that our lab has published our first peer-reviewed paper since we established at USC School of Pharmacy in Fall 2019! Jaque, our postdoctoral scholar, is the first author on this paper! Congratulations! Our paper, which presents a novel tool for managing bioinformatics analyses on [...]

By Lana Martin|2020-04-16T23:39:48+00:00March 3rd, 2020|Categories: Method, Publications, Software|Tags: alex-zelikovsky, douglas-chapski, high-performance-computational-clusters, jaque-brito, jeremy-rotman, juan-de-la-hoz, lana-martin, matteo-pellegrini, paulo-matias, serghei-mangul, Telescope, thiago-mosqueiro, victor-xue|

Mangul Lab submits first preprint presenting app for managing high-throughput analyses via mobile device

Mangul Lab submits first preprint presenting app for managing high-throughput analyses via mobile device

This week, Mangul Lab at USC released our first preprint, a paper that presents Telescope - a tool developed by our group for management of cloud-based high-throughput analyses! In today’s world of big data, high-performance computational facilities are capable of processing considerable volumes of data. Computational resources capable of analyzing [...]

By Lana Martin|2020-04-16T23:46:25+00:00October 7th, 2019|Categories: Method, Preprints, Software|Tags: alex-zelikovsky, douglas-chapski, high-performance-computational-clusters, jaque-brito, jeremy-rotman, juan-de-la-hoz, lana-martin, matteo-pellegrini, paulo-matias, serghei-mangul, Telescope, thiago-mosqueiro, victor-xue|