Medical Bioinformatics @Western
Power of Inclusion: enhancing polygenic prediction with admixed individuals
10 Nov 2023 Dr. Yosuke Tanigawa
Cell Location Recovery with CeLEry: a supervised deep-learning algorithm for discovering spatial origins in scRNA-seq
21 Nov 2023 Dr. Qihuang Zhang
Including scale when analyzing high throughput sequencing datasets
08 Dec 2023 Dr. Greg Gloor
AI for antibiotic design
15 Dec 2023 Dr. Jonathan Stokes
23 Feb 2024 Dr. Edward Kankaka
Mitochondrial DNA Copy Number and Heteroplasmy in Monozygotic Twins Discordant for Schizophrenia.
Published 01 Sep 2023
Developing OCHROdb, a comprehensive quality checked database of open chromatin regions from sequencing data.
Published 19 May 2023
The EBV Gastric Cancer Resource (EBV-GCR): A Suite of Tools for Investigating EBV-Associated Human Gastric Carcinogenesis.
Published 28 Apr 2023
HexSE: Simulating evolution in overlapping reading frames.
Published 28 Feb 2023
Clustering Highly Divergent Homologous Proteins: An Alignment-Free Method.
Published 23 Feb 2023
bayroot: Bayesian sampling of HIV-1 integration dates by root-to-tip regression.
Published 13 Jan 2023
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets.
Published 01 Jan 2023
Optimized phylogenetic clustering of HIV-1 sequence data for public health applications.
Published 01 Dec 2022
Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets.
Published 25 Nov 2022
Mitochondrial genomic integrity and the nuclear epigenome in health and disease.
Published 25 Nov 2022
Integration of biological imaging and multiple -omics technologies to understand the structure of diseased tissues.
Developing and applying computational and statistical techniques for integrative analysis of big multimodal health data for precision medicine.
Combining bioinformatics, epidemiology, public health, genomics and microbiology to predict antimicrobial resistance, disease transmission and outbreaks.
Compositional data analysis and functional characterization of microbiomes.
Contribution of mitochondrial nuclear multiomic signalling to cardiovascular disease using bioinformatic approaches.
Development of computational methods to reconstruct the evolution and epidemiology of human RNA viruses.
Developing computational, statistical and machine learning methods to understand cellular and molecular mechanisms underlying complex diseases.
Computational biology and bioinformatic approaches to biomarkers based on multi-variate, multi-modal gene signatures, especially in the context of cancer.
Genomics and computational approaches to understand the molecular aspects of human physiology and disease incidence/prognosis in the context of the individual (e.g. immune response, microbiome).