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!

Mangul Lab at USC welcomes undergraduate researcher Harman Singh

Mangul Lab welcomes to the team a new undergraduate researcher, Harman Singh! Harman is an Electrical Engineering sophomore at the Indian Institute of Technology Delhi, where he pursues his diverse interests in computer science, biology, and electrical engineering. Harman is studying to use mathematical models and machine learning to understand [...]

By |June 29th, 2020|

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|