Mangul Lab publishes fifth paper presenting a novel method for profiling immunoglobulin (Ig) receptor repertoires from RNA-Seq

Mangul Lab at USC published a paper presenting ImReP – a novel computational tool that uses RNA-Seq data for rapid and accurate profiling of the immunoglobulin (Ig) repertoire. RNA-Seq data presents a unique opportunity to examine the adaptive immune system by profiling the both light and heavy chains that [...]

Mangul Lab publishes second paper – a benchmarking study of error correction methods

Today we celebrate the publication of our second peer-reviewed paper since Mangul Lab launched at USC Keith Mitchell, alumnus of Serghei’s group at UCLA, is the first author of  “Benchmarking of computational error-correction methods for next-generation sequencing data,” which is now available online. Jaque (our postdoc), Lana (our project [...]

Mangul Lab submits preprint exploring read alignment techniques for short and long reads

Last week, Mangul Lab at USC shared a new preprint, which presents our group’s review of the role algorithms have on speed and efficiency of read aligners. Overview of read alignment Modern sequencing platforms generate enormous amounts of genomic data in the form of nucleotide sequences or [...]

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 [...]

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 [...]