Teams

The Snakemake-Workflows team develops best practice workflows for Snakemake

The SDR is concerned with digitisation pipelines for digital access to natural history collections

The SDR integrate machine learning, Artificial Intelligence, and human approaches to extract, enhance, and annotate data from digital images and records at scale. Many collections-holding institutions still need to digitise the bulk of their collections. Digitisation takes time and resources. One of the major challenges in digitising massive collections is finding ways of ensuring high-quality ...

We are a computational research lab located at the Department of Genetics, Microbiology and Statistics of the University of Barcelona (UB). Our main interest is the interplay between genetic variation, gene expression and complex traits. We study the effects of genetic variants in molecular (both bulk and single cell transcriptome, epigenome, etc.) and organismic phenotypes at a population level, and their impact on health and disease. We have expertise in the development of novel statistical ...

This repository presents an objective, quantifiable method for assessing atopic dermatitis (AD) severity. The program integrates deep learning object detection with spatial analysis algorithms to accurately calculate the density of circular nano-size objects (CNOs), termed the Effective Corneocyte Topographical Index (ECTI). The ECTI demonstrates remarkable robustness in overcoming the inherent challenges of nano-imaging, such as environmental noise and structural occlusions on the corneocyte ...

The Sydney Informatics Hub is a Core Research Facility of The University of Sydney. We work towards enabling excellence in data and compute intensive research. We provide support, training, and expertise in statistics, data science, artificial intelligence, bioinformatics, software engineering, simulation, visualisation, and research computing. We are creating reusable workflows for bioinformatics on Australia's national supercompute resources & commercial cloud, as an official node of the ...

Our goal is deciphering the complexity of microbial metabolism, its evolutionary and biotechnological implications through a multidisciplinary approach. By assuming that the whole is greater than the sum of its parts, we aim to contribute to a better understanding of the emergent properties of microbial systems at subcellular, cellular and supracellular levels. We pursuit the rational re-design of these system properties towards novel biotechnological and medical applications.