comparative-genomics

Cross-database integration using evolution and machine learning to identify multiscale molecular building blocks for antibiotic resistance

Computational approaches to study molecular pathogenesis and intervention of infectious diseases

MolEvolvR: A webapp for characterizing proteins using molecular evolution and phylogeny

Studying how bacterial pathogenic proteins evolve can help identify lineage-specific and pathogen-specific signatures and variants, and consequently, their functions. We have developed a streamlined computational approach for characterizing the …

MolEvolvR: Web-app and R-package for characterizing proteins using molecular evolution and phylogeny

Molecular evolution and phylogeny can provide key insights into pathogenic protein families. Studying how these proteins evolve across bacterial lineages can help identify lineage-specific and pathogen-specific signatures and variants, and …

Using a computational molecular evolution and phylogeny to study pathogenic proteins

Background: Studying bacterial physiology, adaptation, and pathogenicity through the lens of evolution requires delineating the phylogenetic history of bacterial proteins and genomes. Moreover, delineating this history of proteins is best done at all …

MolEvolvR: a web-app for molecular evolution and phylogeny

We will discuss the alpha version of their new easy-to-use interactive webapp: MolEvolvR, for characterizing proteins using molecular evolution and phylogeny. We will begin by demonstrating the power of MolEvolvR using the panbacterial stress response system, PSP (phage shock protein), as an example. Then, we will anyone can use this app to study their protein(s) of interest. PSP app: jravilab.shinyapps.io/psp-evolution (bioRxiv 2020) MolEvolvR app: jravilab.org/molevolvr (currently, alpha-version)

Computational evolutionary approaches

Integrating molecular evolution and comparative genomics to achieve comprehensive, multiscale characterization of bacterial proteins and genomic features.

Phylogenetics & Comparative Genomics | MMG801

Computational evolutionary approaches for understanding pathogen proteins and genomes