Jayaram Kancherla

kana enables interactive single-cell omics analysis in the browser using WebAssembly, completing analysis of over 100,000 cells in 5 minutes on a laptop.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

gEAR provides a community-driven portal for multi-omic data visualization, analysis, and sharing across species and data types.

The paper introduces epivizFileServer, a Python library for querying and manipulating genomic data from indexed files, improving exploratory analysis efficiency.

CDGnet recommends targeted cancer therapies using a network approach that integrates biological pathway information and patient-specific molecular data.

scGAIN imputes missing gene expressions in scRNA-seq data using GANs, improving clustering and matching with bulk RNA-seq.

The paper introduces an R package for handling 16S rRNA databases and marker-gene survey data, providing consistent interfaces for database comparison and data structure development.

Metaviz provides an interactive web tool for exploring and visualizing metagenomic data through heatmaps, bar plots, and PCA scatter plots.