Whole-Genome Sequencing (WGS)

Principle

WGS provides sequence information from coding and non-coding regions to investigate inherited or somatic variation. The reference genome, sequencing depth and variant analysis strategy are selected around the species and research objective.

Applications

• Identify genetic differences between individuals and candidate variants
• Compare somatic variation between tissues or study groups
• Investigate cancer genetics and population-level genomic variation

Method features

• Covers coding and non-coding regions
• Supports SNP, Indel, CNV or SV analysis in suitable designs
• Performance depends on sample quality, depth and variant class

Workflow

1. 01

   Extract DNA and assess sample quality

2. 02

   Prepare whole-genome sequencing libraries

3. 03

   Sequence and evaluate alignment and coverage

4. 04

   Call, annotate and filter variants for the research objective

This is a workflow overview. Experimental and analytical details depend on sample conditions and research objectives.