Whole genome sequencing determines the complete DNA sequence of an organism's genome. This provides the most comprehensive genomic data, but at high cost. Whole exome sequencing sequences only the protein-coding exons, the critical functional regions of genes. This reduces sequencing costs while still targeting the most relevant genomic regions. Targeted or gene panel sequencing focuses only on specific genomic regions of interest, such as disease-associated genes. This provides deep coverage of prespecified targets at low cost. The choice of WGS, WES, or targeted sequencing depends on the research goals, sample types, and budget. WGS offers the broadest detection but requires careful variant interpretation. WES captures the majority of known disease-causing variants while reducing sequencing needs. Targeted panels provide high coverage of known gene targets but miss variations outside those regions.
We provide high-quality analysis of whole genome, exome, and targeted sequencing data generated by the latest next-generation sequencing (NGS) platforms. Our team of expert bioinformaticians utilizes state-of-the-art tools and pipelines to deliver rapid and accurate genomic data analysis, interpretation, and visualization for your research projects. Depending on your needs, we offer a range of genomic analysis services, from basic alignment and variant calling to more advanced analyses like somatic mutation detection, copy number analysis, phylogenetic analysis, and custom pipeline development. Our goal is to unlock valuable biological insights from your sequencing data, whether your project is large or small.
- Imputation for low-pass WGS (lpWGS) / low-coverage WGS (lcWGS)
- Whole genome, exome, and targeted sequencing alignment and analysis
- Somatic mutation detection for paired tumor/normal samples
- Copy number and structural variation analysis
- Phylogenetic analysis and evolutionary tree building
- Data quality control and preprocessing
- Custom analysis pipeline development
- Result interpretation and reporting by PhD-level analysts
- Data security and confidentiality guaranteed
- Cloud computing for large-scale analysis
- Publication-ready figures and visualizations