Exome Sequencing Data Analysis
Concentrates on the determination of genetic variations in protein coding genes to identify disease-related mutations.
Whole-Genome Sequencing
Gives a full picture of the whole genome to identify uncommon alternations, structural alterations and multi-faceted genetic designs.
Genome-Wide Association Studies (GWAS).
Compares the genetic variation among populations to determine genetic markers of a particular trait or disease.
Post-GWAS Analysis
The GWAS results are interpreted through the association of variants with biological processes, functional impacts, and disease processes.
Single-Cell RNA Sequencing
Studies the expression of the genes at a single cell, showing the diversity and heterogeneity of the cell.
Multi-Omics Integration
Integrates genomics, transcriptomics, proteomics and metabolomics information to have a comprehensive view of biological systems.
RNA-seq Data Analysis
Assays the expression profile of genes and functional pathways to determine differentially expressed genes and functional pathways.