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 [...]