TACKLING ALL CANCERS SOONER!

Our vision is to bring forward the day when all cancers are curable.

OncoCDx is a non-for-profit research organization established by alumni, former and current researchers from the top institutes and universities in the world, including University of Cambridge, UK, Oxford, UK and California Berkeley, USA.

We believe survival is the general human right no matter of the race, ethnicity, ability, nationality, wealth, and gender.

Our strategy will give us the foundations we need to tackle the challenges ahead. With your help, we can make it possible!

TRUSTED US

knowledge domains

Oncology
immunology
Microbiome
Bioinformatics
Integrated Bioinformatics
Multi-Omics Analyses

Genomics
Transcriptomics
Proteomics
Metabolomics
Immunomics
Metagenomics
Microbiomics
De novo assembly

Computational Biology

Molecular modelling
software engineering
Integrated Development

Dedicated Pipelines
Customized Dashboards
Automated Data Processing
Comprehensive Reports
FDA / EMA / GDPR Compliance

Front-end / Back-end
Full-stack / DevOps
AI & DATA SCIENCE
Oxford Powered AI

Clinical Data Science
Machine Learning
Unstructured Data
Deep Learning
Bayesian Network
Image Recognition

High-Performance Computing
Cloud Computing
DATA
Public / Private Data Access

Medical databases
Patients' tissue biopsy data
Biobanks and genetic data
Clinical Trials

Multiple Data Types

Oxford Nanopore Technologies
Gene Expression (RNA-seq)
Next-Generation Sequencing(NGS)
Whole Genome Sequencing (WGS)
Whole Exome Sequencing (WES)

Interactive Data Visualization

case studies

Somatic and germline mutations

Reliable identification of somatic and germline mutations is an essential element of cancer genome research and patients' molecular diagnostics.


Multilevel expression analysis

Integration of multiple sequencing technologies leveraged by machine learning technology increases statistical power to detect novel mutations, especially in low purity tumors.



Human leukocyte antigen (HLA) typing

HLA locus is involved in the mechanisms of tumor tolerance and diagnosis. The HLA class I and class II genotyping along with expression analysis are currently one of promising clinical approaches.


Neoantigens prediction and vaccines design

Tumor neoantigens are crucial for immune response to immunotherapy. Our approach identifies, scores and indicates those neoantigens that induce the strongest immune response, excluding false positives ones.



Journal of Allergy and Clinical Immunology

Identification and characterization of functional lncRNAs

Long non-coding RNAs play a crucial role in regulatory biology. They can act as a regulatory factors essential for tumor and microbiome biology. We identify potential lncRNAs and teach machine learning to predict the effects of its mutations.



Cells

Molecular Modeling and Computational Biology

Molecular modeling encompasses all methods, theoretical and computational, used to model or mimic the behavior of molecules. The methods are used in computational biology to study molecular systems ranging from small chemical systems to large biological molecules.


Computer Aided Drug Design (CADD)

Computer-aided drug design includes computational chemistry, molecular modeling, molecular design and rational drug design. Our original in-house tools and knowledge leaded to therapeutic molecules currently being under the last phase of clinical trial.



Journal of Chemical Information and Modeling

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