Probe and primer design determines which genomic regions are enriched before sequencing. Capture-based workflows use designed probes to select target sequences, whereas amplification-based workflows use primers to copy specific regions. Because the assay focuses on predefined loci, design choices directly affect which variants can be observed and how efficiently the selected regions are represented in the sequencing data.
Concentrating sequencing reads on fewer loci increases coverage across the selected regions. Greater coverage can improve analytical sensitivity, meaning the assay is better positioned to detect sequence differences within those targets. This benefit is most relevant when testing a defined set of genes or genomic regions, because sequencing effort is not distributed across the entire genome.
After massively parallel sequencing, bioinformatic alignment compares the generated reads with genomic reference positions. This analysis can identify single-nucleotide changes, insertions, deletions, and copy-number alterations within the selected targets. The resulting variant information is therefore tied to the regions included in the assay rather than to genomic areas outside the predefined design.
Targeted NGS examines a narrower, predefined set of loci, while whole-genome and whole-exome approaches survey substantially broader genomic scopes. The focused design can reduce data-processing demands and direct sequencing depth toward selected regions. In return, findings are limited to the genes or loci included in the target panel, which makes assay scope an important consideration.
A typical workflow begins by defining genomic regions of interest and designing probes or primers for those loci. The target sequences are then captured or amplified, followed by massively parallel sequencing. Bioinformatic alignment subsequently organizes the reads against genomic positions so that sequence variants and copy-number alterations can be assessed within the selected regions.
In genetics, targeted NGS supports disease-gene testing, diagnosis of inherited disorders, and validation of known genomic regions. Cancer profiling is another application, allowing analysis of selected genes or loci relevant to a tumor study. Its focused scope can provide concentrated information while limiting the sequencing and data-processing burden associated with broader genomic assays.