A5002962431- Genomics and Phylogenetic Studies
- Data-Driven Disease Surveillance
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- COVID-19 epidemiological studies
- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Influenza Virus Research Studies
- Cancer-related gene regulation
- Scientific Computing and Data Management
- Extracellular vesicles in disease
- MicroRNA in disease regulation
- Genomics and Rare Diseases
- Health, Environment, Cognitive Aging
- RNA modifications and cancer
- Machine Learning in Bioinformatics
University of Oxford
2018-2023
Ludwig Cancer Research
2021
John Wiley & Sons (United States)
2019
Hudson Institute
2019
Centre for Sustainable Healthcare
2018
University of Cambridge
2017
Novel cell-free DNA whole-genome methylome sequencing method enables accurate cancer detection.
DNA methyltransferases (DNMTs) catalyze methylation, and their functions in mammalian embryonic development diseases including cancer have been extensively studied. However, regulation of DNMTs remains under study. Here, we show that CCAAT/enhancer binding protein α (CEBPA) interacts with the long splice isoform DNMT3A, but not short DNMT3A2. CEBPA, by interacting DNMT3A N-terminus, blocks from accessing substrate thereby inhibits its activity. Recurrent tumor-associated CEBPA mutations,...
Abstract Newly recognized as natural nanocarriers that deliver biological information between cells, extracellular vesicles (EVs), including exosomes and microvesicles, provide unprecedented therapeutic opportunities. Large‐scale cost‐effective manufacturing is imperative for EV products to meet commercial clinical demands; successful translation requires careful decisions minimize financial technological risks. Here, we develop a decision support tool (DST) computes the most technologies...
SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and modelling the dynamics of outbreaks. Understanding biases within case-based used in analyses is important as they can detract from value these rich datasets. This raises questions how variations surveillance affect estimation such growth rates. We use standardised line list COVID-19 Argentina, Brazil, Mexico Colombia to estimate delay distributions symptom-onset-to-confirmation, -hospitalisation -death...
Cell-free DNA is emerging as a promising biomarker for early detection of cancer, offering an avenue both non-invasive diagnosis and personalised cancer treatment. Tissue deconvolution cell-free the process predicting proportional contributions from each tissue cell type, thus inferring health status patient overall. We introduce new method genome wide cfDNA methylation data, using autoencoder deep learning model. This trained model produces biologically meaningful predictions, which agree...
As whole-genome sequencing technologies improve and accurate maps of the entire genome are assembled, short open-reading frames (sORFs) garnering interest as functionally important regions that were previously overlooked. However, there is a paucity tools available to investigate variants in sORF genome. Here we performance commonly used for variant calling prioritisation these regions, present framework optimising processes. First, four widely germline algorithms systematically compared....
Abstract As whole-genome sequencing technologies improve and accurate maps of the entire genome are assembled, short open-reading frames (sORFs) garnering interest as functionally important regions that were previously overlooked. However, there is a paucity tools available to investigate variants in sORF genome. Here we performance commonly used for variant calling prioritisation these regions, present framework optimising processes. First, four widely germline algorithms systematically...
Abstract We present Global.health, a scalable online platform for collecting high-dimensional epidemiological data and transforming those into consistent schema to enable distributed analyses. Global.health was originally developed handle the demands of high-volume, accurate collection line list in early months COVID-19 pandemic. It has since proven amenable rapid adjustment as new variables became relevant, example tracking variants concern vaccination status cases, well clinical data. The...
US$18141 (US and Rest of World), € 11707 (Europe), £ 9260 (UK
Abstract SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and modelling the dynamics of outbreaks. Understanding biases within based used in analyses important as they can detract from value these rich datasets. This raises questions how variations surveillance affect estimation such growth rates. We use standardised line list COVID-19 Argentina, Brazil, Mexico Colombia to estimate delay distributions symptom-onset-to-confirmation, -hospitalisation -death...