THE MANGUL LAB AT USC
We design, develop, and apply novel data-driven, computational approaches that accelerate the diffusion of genomics and biomedical data into translational research and education.
Lab news!
Mangul Lab joins urgent efforts to track COVID-19 by zipcode
Members of Mangul Lab have joined efforts with UCLA researchers to curate data that will help hospitals—already burdened by the COVID-19 pandemic—predict patient load in coming weeks. For the past two weeks, Jaque (Mangul Lab postdoc), Jeremy (software engineer), and Niko (undergraduate researcher) have been working with Rob Brown (UCLA [...]
Interview in Nature Methods: Bench pressing with genomics benchmarkers
A journalist with Nature Methods recently interviewed Serghei on the increasingly important role that benchmarking studies play in biomedical and life science research. Benchmarking studies, which rank bioinformatics software according to variables such as speed, accuracy, and precision, help researchers select the best tool for a given dataset and research [...]
Mangul Lab submits preprint presenting recommendations to enhance rigor and reproducibility in biomedical research
Mangul Lab at USC has shared a new preprint, which presents our group’s review of efforts to improve scientific rigor and reproducibility via open-source data and academic software. Computational methods have reshaped the landscape of modern biology. While the biomedical community is increasingly dependent on computational tools, the mechanisms [...]
Mangul Lab at USC welcomes software engineer Jeremy Rotman
We are excited to welcome back a familiar face from UCLA! Jeremy Rotman recently joined Mangul Lab at USC as a software engineer. Jeremy will be constructing tools and pipelines that will help us study large, noisy biological datasets on a high performance computing cluster. Jeremy earned a Master’s degree [...]
Mangul Lab submits preprint presenting Metalign, software that boosts accuracy of existing metagenomic profiling methods
Mangul Lab at USC shared a new preprint which presents Metalign - a tool developed by our group that significantly improves the taxonomic profiling accuracy of a metagenomic sample. Overview of Metalign Microorganisms play a critical role in almost every natural setting, including soil, ocean water, and [...]
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 [...]