Teams

What is a Team?
232 Teams found

Our research group Methods and Algorithms for Bioinformatics belongs to French National Center for Scientific Research (CNRS) and is hosted by the Computer Science Dpt of University of Montpellier (in the LIRMM joint unit UMR 5506). We offer interactive web services, software, and programming libraries for bioinformatics on the ATGC bioinformatic platform. Well known software from our group are for instance ...

Medical bioinformatics group of the Medical Proteome Center at the Ruhr University Bochum

We are a team of Academic Specialists who collaborate with researchers to enable data-intensive research across the University. We work with researchers at all stages of the research lifecycle, from research design and data collection, all the way through to analysis, visualisation, and interpretation.

Research areas: - Structure, evolution and maintenance of telomeres and their roles in chromosome stability, DNA repair and plant speciation - Epigenetic mechanisms in the regulation of gene expression, chromatin assembly, genome stability and telomere homeostasis - Transcription, replication and DNA repair in the context of nuclear and nucleolar architecture

This team is dedicated to the development of the Meta-NanoSim tool: https://github.com/bcgsc/nanosim

No description specified

Space: Independent Teams

Public web page: Not specified

No description specified

Space: Independent Teams

Public web page: Not specified

MGnify (formerly known as EBI Metagenomics) is a free resource for the assembly, analysis, archiving and browsing all types of microbiome derived sequence data.

Space: This Team is not associated with a Space

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

Microbial communities and TIC

Space: Independent Teams

Public web page: Not specified

Machine Learning Made Easy (MLme) is a novel tool that simplifies machine learning (ML) for researchers. By integrating four essential functionalities, namely data exploration, AutoML, CustomML, and visualization, MLme fulfills the diverse requirements of researchers while eliminating the need for extensive coding efforts. MLme serves as a valuable resource that empowers researchers of all technical levels to leverage ML for insightful data analysis and enhance research outcomes. By simplifying ...

Powered by
(v.1.14.1)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH