Technologies
Unveiling Tomorrow’s Healthcare:
Innovations at the Nexus of Genomics and Technology
We are committed to pushing the limits of innovation and progress in the field of genomics. Our focus extends to pioneering advancements in genomic methodologies that play a pivotal role in enhancing patient outcomes. Through meticulous research and development, we are actively shaping the landscape of technologies, consistently raising the bar for excellence.
At the core of our technological endeavors lies a steadfast commitment to patient-centered care. We harness the power of cutting-edge tools and techniques to decode the intricate genetic makeup of individuals, thereby facilitating early disease detection, personalized treatment strategies, and improved therapeutic interventions. Our technology-driven approach is guided by the unwavering pursuit of effective cures, ensuring that each advancement we make contributes meaningfully to the betterment of individual’s lives.
As we continue to move forward, our technology initiatives harmonize with our broader mission of connecting the care and cure to the world. Through the convergence of science, innovation, and patient-centric values, we are catalyzing a new era in healthcare where technology not only empowers diagnosis and treatment but also instills hope and transforms lives.
Our Technology Workflow
We are committed to pushing the limits of innovation and progress in the field of genomics. Our focus extends to pioneering advancements in genomic methodologies that play a pivotal role in enhancing patient outcomes. Through meticulous research and development, we are actively shaping the landscape of technologies, consistently raising the bar for excellence.
G-Tracker®
DNA extraction
Library preparation
Sequencing
Proprietary bioinformatics
Reporting
Bioinformatics
The power of GC Genome’s bioinformatics technology
GC-VIP
Variant Interpretation by Candidates Prioritization
Crafting exclusive algorithms for pinpointing and prioritizing disease-related mutations
GC-CNema
CNV analysis by Normalization with reference matrix
Conducting CNV analysis using Internal Control probes and tailored panel algorithms
GC-MD
Germline Variant Database
Creating an internal mutation database for comprehensive genetic insights
Database
| In-house DB | Pop. Freq DB | Clinical DB | In-silico DB |
|---|---|---|---|
| Clinical Exome Target Panel Whole Exome Whole genome Microbiome |
ExAC ESP 6500 1000 Genome dbSNP gnomAD KRGDB |
HGMD ClinVar COSMIC |
SIFT PolyPhen2 Mutation Assessor FATHMM SpliceAI dbNSFP dbscSNV |
AI (Artificial Intelligence) Analysis
We are in the process of creating AI analysis algorithms based on deep learning techniques for genetic analysis purposes. By employing deep learning-based AI analysis, it becomes feasible to attain genetic analysis outcomes with enhanced precision. In contrast to machine learning, which encompasses feature extraction and result selection, deep learning utilizes artificial neural networks to directly extract features and determine results from data. GC Genome’s AI, founded on deep learning, offers heightened accuracy in analysis compared to conventional machine learning-based approaches.
Meet our AI based Research and Development
Quality Management System
Guided by your trust, we are dedicated to maintaining excellence by continuously improving and enhancing our products, services, and interactions. Our goal is to provide you with reliable results that you can have complete confidence in. We are committed to delivering high-quality offerings and consistent value, always working to find ways to surpass your expectations through ongoing refinement and advancement.
Technology Platform
Our technology platform offers a swift and accurate method for decoding segments of DNA sequences. Through the implementation of an automated system utilizing liquid handler equipment, we have established an efficient and streamlined process for constructing automation systems.
This not only aids in reducing the expenses and time associated with genome analysis but also enhances the deciphering of genomic data. Our approach finds widespread relevance, making it suitable for both general genomic research and clinical applications. The versatility of our technology allows for the identification of various applications, further contributing to its effectiveness in advancing genomic research and clinical diagnostics
