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The members of the Applied Computational Biology group at the Institute of Experimental Genetics (IEG) at the Helmholtz Zentrum München (HMGU) cover a wide range of scientific disciplines, all possessing deep IT knowledge and experience and a strong command of the IT toolbox. As a team, we work at the interface between biology and applied computer sciences in our institute as well as in external collaborations.
The ACCR group headed by Prof. Dr. Florian Rambow focuses on resolving and perturbing cancer cell fate decisions to prevent cancer progression and therapy resistance. We leverage the power of spatially resolved single-cell approaches in combination with computational biology to investigate cell state plasticity and the contribution of the tumor microenvironment. Our primary aim is to advance translational precision oncology.
Space: Independent Teams
Public web page: https://www.ikim.uk-essen.de/groups/accr
Team of contributors working on the ARA (Automated Record Analysis) pipeline.ARA is an automatic pipeline for exploration of SRA datasets with sequences as a query.
Space: Independent Teams
Public web page: https://github.com/maurya-anand/ARA
Space: Memorial Sloan Kettering
Public web page: Not specified
Space: Independent Teams
Public web page: Not specified
Space: Independent Teams
Public web page: Not specified
Space: Independent Teams
Public web page: Not specified
The Australian BioCommons enhances digital life science research through world class collaborative distributed infrastructure. It aims to ensure that Australian life science research remains globally competitive, through sustained strategic leadership, research community engagement, digital service provision, training and support.
Space: Australian BioCommons
Public web page: https://www.biocommons.org.au/
Dr. Ferhat Ay and his lab are currently located at the La Jolla Institute of Immunology. Our lab focuses on the study of the 3D genome including the development of statistical tools to better interrogate functions and associations between the 3D genome and other biological factors.
Space: Independent Teams
Public web page: https://www.lji.org/labs/ay/
The Biomolecular Artificial Intelligence & Digital Biochemistry (BAID) team is an interdisciplinary research group committed to addressing critical challenges in biomolecular science and biomedicine, such as the inefficiency of traditional drug discovery pipelines, limited understanding of molecular mechanisms, and data scarcity in therapeutic development. To overcome these issues, our research goal is to discover, design, and develop innovative advanced AI models and computational frameworks ...
Space: Independent Teams
Public web page: https://baid.manbaritone.com/