Medical Clinical-Grade Whole Genome Sequencing (WGS)

Whole Genome Sequencing is the analysis of the entire genome, including intronic and exonic regions of DNA.

Dante Genomics provides 30X coverage for the whole genome which means 30X on average on the exonic and intronic region of the genome. This is considered the best coverage which allows for the detection of rare variants on single nucleotide polymorphisms (SNPs) with more accuracy.

The data provided thanks to this method can be used to identify all the genetic variations in the genome, including non-coding and structural variants.

WGS is very useful to investigate inheritet disorders and rare diseases, to develop targeted therapies and drugs for fighting their progression.

The WGS application can be extended to non-human genomes, for example for agricultural or bacteria segments, in fact it was widely used during the Covid-19 pandemic.

The analysis is powered by Next Generation Sequencing (NGS) technology, a powerful tool for research and clinics that can reduce costs in terms of money and time, and that can drive to terabytes of output.

Extensa software, which is both CE-IVD and ISO13485 certified, is the Dante Labs property system that intervenes in the bioinformatic process.

The result is a comprehensive overview of the whole genome, with the highest level of accuracy and precision.

You can choose for:

• FASTQ: this file format contains the raw sequencing data, including the base calls and quality scores for each read. It is a standard format used in Next-Generation Sequencing and can be used to analyse the data using various bioinformatics tools.

You can also add:

• VCF: this file format contains the variant calls, or differences between the individual's genome and a reference genome. It includes information such as the type of variant, the location in the genome, and any associated annotation data.
• BAM: this file format is a binary version of a SAM (Sequence Alignment/Map) file, which contains the aligned reads of the sequencing data to a reference genome. It is usually used for downstream analysis such as variant calling and annotation.