Whole Transcriptome Analysis
Metatranscriptomics Analysis
Host-Pathogen Interaction Analysis
Whole transcriptomic analysis captures and profiles all RNA transcripts expressed within a cell or organism, revealing how genes respond under different conditions. It’s ideal for uncovering functional biological mechanisms, identifying biomarkers, and understanding dynamic molecular pathways for research and biotechnology innovation.
Metatranscriptomics analysis profiles the actively expressed RNA transcripts from entire microbial communities, revealing which organisms and genes are functionally active in an environment. It’s ideal for understanding real-time microbial interactions, ecosystem functions, and dynamic biological responses for research and biotechnology innovation.
Host–pathogen interaction analysis explores the molecular interplay between hosts and infectious organisms, revealing how pathogens invade, adapt, and trigger host responses during infection. It’s ideal for uncovering disease mechanisms, identifying therapeutic targets, and advancing infectious disease research and biotechnology innovation.
Spatial Transcriptomic Analysis
Spatial transcriptomic analysis maps gene expression within intact tissues while preserving spatial context, revealing how cells interact and organise across biological environments. It’s ideal for uncovering tissue architecture, cellular heterogeneity, and disease mechanisms for advanced research and biotechnology innovation.
