We provide reanalysis of patient data for newly identified variants and expanded phenotypes, ensuring that it remains up to date with the latest scientific findings and variant classifications.
We enable the reuse of sequencing data from family members to investigate inherited conditions, providing a comprehensive view of familial genetic patterns and aiding in the diagnosis and management of inherited conditions.
The perpetual availability of genomic data empowers doctors with the ability to provide ongoing, personalized care, thereby significantly improving patient outcomes and enabling the prescription of more effective, tailored treatments during every patient visit.
WES shines in pediatric genetics, aiding pediatricians in identifying the genetic roots of developmental delays, intellectual disabilities, and congenital disorders, thereby enabling timely and effective early interventions.
Our WES includes detailed classification of variants, such as Variants of Uncertain Significance (VUS), providing clinicians with nuanced data to inform treatment and management decisions.
The perpetual data access empowers doctors to deliver ongoing, personalized care, greatly improving patient outcomes and enabling more tailored treatments during visits.
WES facilitates the analysis of familial genetic conditions, enabling the identification of causative variants.
Uncover pivotal biomarkers linked to diseases to facilitate early diagnosis, informed prognosis, and the development of personalized treatment approaches, enhancing patient care and outcomes.
This involves studying genome modifications that impact gene expression without changing the DNA sequence, aiding our understanding of gene regulation in development, diseases, and biological processes.
This includes analyzing genetic material from environmental samples, profiling genetic diversity, functionality, and microbial interactions in the sample.
This analyzes genomic sequences to understand evolution, identify conserved regions, and reveal species-specific traits or diseases.
These techniques analyze genomics data to uncover patterns and genetic variant associations with phenotypes and diseases, and train predictive models, aiding in biomarker discovery, disease classification, and personalized medicine.
Services | WGS | WES | RNAseq |
---|---|---|---|
Coverage | 10x and 30x | 40x to 250x | 40 - 80 million reads, WTS |
TAT | 2 - 3 Weeks | Varies as per sequencing and samples | Varies as per sequencing and samples |
Sequencing | 2X 150 PE Sequencing | 2X 150 PE Sequencing | 2X 150 PE Sequencing |
Sequencing Platform | illumina Novaseq 6000 | illumina Novaseq 6000 | illumina Novaseq 6000 |
Data | 90 & 120 GB | 4-18 GB (Depends on the coverage) | 4-18 GB (Depends on the coverage) |
Sample Types | Blood | Blood, Tissue, Cf DNA, DNA | Blood, tissue, Cells, RNA |
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