Teams

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234 Teams found
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Space: Independent Teams

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Space: Independent Teams

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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 ...

Space: DISSCo - Distributed System of Scientific Collections

Public web page: https://www.synthesys.info/

Start date: 1st Feb 2019

End date: 31st Dec 2023

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 ...

Space: Independent Teams

Public web page: Not specified

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.

Our research is focused on understanding the clinical and genetic basis of inherited heart disease. We use a range of approaches including human gene discovery studies, basic cellular systems, animal models of human disease, and population-based psychosocial and public health studies.Our research involves state-of-the-art approaches including whole exome sequencing, mRNA and microRNA profiling, and RNASeq. Most importantly, we have the key clinical resources, including well phenotyped individual ...

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