Mangul Lab2020-04-20T16:47:16+00:00


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!

The first RECOMB-Seq talk from Mangul Lab

Congratulations to Nathan LaPierre, a PhD student in ZarLab at UCLA and a collaborator with Mangul Lab at USC, on the acceptance of his oral presentation, “Metalign: Efficient alignment-based metagenomic profiling via containment min hash,” in the RECOMB-Seq Massively Parallel Sequencing virtual satellite meeting. Along with co-authors Mohammed Alser (Senior [...]

By |June 22nd, 2020|

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 [...]

By |June 19th, 2020|

Mangul Lab at USC welcomes Master’s student Anushka Rajesh

Mangul Lab welcomes to the team a new Master’s student, Anushka Rajesh! Anushka is pursuing the Master of Science in Pharmaceutical Sciences at the University of Southern California School of Pharmacy, after earning a Bachelor of Pharmacy degree from Mumbai University, India. She has previous research experience in core pharmaceutical [...]

By |June 17th, 2020|

Mangul Lab releases fourth paper that recommends ways to enhance rigor and reproducibility in biomedical research

Mangul Lab at USC has published our fourth paper in GigaScience, which presents our group’s review of efforts to improve scientific rigor and reproducibility via open-source data and academic software. Recommendations to enhance rigor and reproducibility in biomedical research Computational methods have reshaped the landscape of modern [...]

By |June 1st, 2020|

Mangul Lab submits preprint of a WGS-based structural variant callers benchmarking study

Mangul Lab at USC shared a new preprint which presents a benchmarking study of structural variant (SV) callers – computational tools for identifying genomic regions that have altered DNA and may be implicated in various diseases and disorders. Varuni Sarwal, alumnus of Serghei’s group at UCLA, is the first [...]

By |April 29th, 2020|