Teams

What is a Team?
197 Teams found

Genomics Coordination Center, Department of Genetics, University Medical Center Groningen (UMCG)

GenX implements Confidential Computing technologies for privacy-preserving multi-party genomic and medical data analysis.

Space: Independent Teams

Public web page: https://genx.network/

The overarching theme of the research in our group is the understanding of the information encoded in genomic sequences, and how this information is processed in the pathway leading from DNA to protein sequences. We are intrigued by the parallelism between computation and the processing of information encoded in biological sequences. The bulk of ouf research currently focuses on the mechanisms underlying RNA production (transcription) and post-processing (splicing), and it is increasingly ...

No description specified

Space: JKU

Public web page: Not specified

Department of Molecular NeuroscienceCenter for Brain ResearchMedical University of Vienna

Space: Independent Teams

Public web page: https://harkany-lab.at/

FAS Research Computing department at Harvard University

Dev team for Hecatomb

The guidance system HELIPORT aims to make the entire life cycle of a project at the HZDR findable, accessible, interoperable and reusable according to the FAIR principles, mentioned below. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows carried out and the actual research results. For this purpose, a concept was developed which shows the various essential components and their connections. ...

Space: HELIPORT

Public web page: https://heliport.hzdr.de

MGnify is EMBL-EBI's metagenomics resource. EMBL-EBI are one of the 11 HoloFood partners, and are responsible for the analysis of metagenomic and microbial datasets from the project.

Space: HoloFood

Public web page: https://www.ebi.ac.uk/metagenomics

Start date: 1st Jan 2020

End date: 30th Apr 2023

The Hurwitz Lab was established in August, 2014 at the University of Arizona in the Department of Biosystems Engineering. Our lab focuses on large-scale –omics datasets, high-throughput computing, and big data analytics. We leverage these technologies to answer questions related to the relationship between microbes, their hosts, and the environment.

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