Using metagenomic sequencing to evaluate the composition of microbiome in patients with Covid-19
Metagenomic Next-Generation Sequencing (mNGS) combines the offer of detection of early stages of emerging pathogens directly from...
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Bioinformatics
Unlocking insights from complex data, transforming data into knowledge
1
Data Processing and Analysis
Our bioinformaticians are skilled in processing and analysing high-throughput genomic data generated from various platforms. We apply robust algorithms and statistical methods to extract meaningful insights.
2
Variant Calling and Annotation
We identify and annotate genetic variants, providing valuable information about their functional significance and potential clinical relevance.
3
Pathway and Network Analysis
Our expertise extends to pathway and network analysis, allowing researchers to uncover the biological processes and interactions underlying their findings
4
Biomarker Identification
We collaborate with researchers to identify potential biomarkers associated with diseases, drug responses, and therapeutic outcomes. Our comprehensive approach includes genomics, proteomics, and transcriptomics
ML and AI Models Building
Harnessing the Power of Data Science
Algorithm Development
Our data scientists develop custom machine learning and AI algorithms tailored to specific research objectives. These algorithms enhance data analysis and enable predictive modelling.
Predictive Modelling
We build predictive models for disease risk assessment, treatment response prediction, and patient stratification. These models aid in personalising healthcare and optimising clinical decisions.
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