Our paper on transposon sequencing has been published in PLOS Computational Biology. The full article is available at here.

Summary: Transposon insertion sequencing allows the study of bacterial gene function by combining next-generation sequencing techniques with transposon mutagenesis under different genetic and environmental perturbations. Our proposed regularized negative binomial regression method improves the quality of analysis of this data.

Vishal Sarsani’s new paper describes a model-based method for identifying conditionally essential genes. There is an R package associated with the method. This work is with our wonderful collaborators in the Chien Lab at UMass. Thanks to NIH 5R01GM135931 for funding this work.

Vishal Sarsani is giving a talk on his recent work at the Great Lakes Bioinformatics Conference in the special session “Genotype to Phenotype in Model and Non-Model Organisms” at 10:25am eastern time on May 13, 2021. Register here and join us!