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This team is a testing grounds for the DeSci Labs research object development team.
Space: Independent Teams
Public web page: https://DeSci.com
Computational Biology lab at the University of Lausanne, department of computational biology (DBC). Member of the swiss institute of Bioinformatics.We aspire to better understand gene evolution and function, using statistical and computational methods. The key questions underlying our research are:How can we best extrapolate our current knowledge of molecular biology, concentrated in just a handful of model organisms, to the rest of life?Conversely, how can we exploit the wealth and diversity of ...
Space: Independent Teams
Public web page: https://lab.dessimoz.org/
Space: Independent Teams
Public web page: https://dioscuri-tda.org
Space: Paris Biofoundry
Public web page: https://parisbiofoundry.org/the-asu-biofoundry/
Workflows created as part of the Earth Biogenome Project Norway
Space: Independent Teams
Public web page: https://www.ebpnor.org/
Our team focuses on advancing the field of Dependent Task Scheduling in edge computing environments. We specialize in modeling dependent tasks as Directed Acyclic Graphs (DAGs) to optimize resource allocation and improve overall system performance in edge computing scenarios. Our research encompasses:1. Development of novel scheduling algorithms for DAG-based tasks in edge computing2. Performance analysis and optimization of existing scheduling strategies3. Implementation and evaluation of DAG-based ...
Space: Independent Teams
Public web page: Not specified
Sequencing facility at the University of Edinburgh
Space: Independent Teams
Public web page: https://genomics.ed.ac.uk
This team is to publish workflows executed from WPs that are not the three main pillars of the project.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/
Space: Independent Teams
Public web page: https://ega-archive.org/
The Earlham Institute Papatheodorou Group leads a programme of data-intensive science for cellular genomics and FAIR data infrastructure. The group hosts highly experienced data scientists and software developers to enable the development of software and metadata standards for openly and reproducibly sharing different types of omics data and images. The team also develop end-to-end pipelines for the standardised analyses of single-cell and spatial transcriptomics datasets.
Space: Independent Teams
Public web page: https://www.earlham.ac.uk/scientific-group/papatheodorou-group