Abstract: Detailed characterization of molecular and cellular effects of genetic variants is essential for understanding biological processes that underlie genetic associations to disease. A particularly scalable approach has been linking genetic variants to effects in the transcriptome that is amenable for scalable ...
Functional variation in the human genome: lessons from the transcriptome
Speaker:
Tuuli Lappalainen
Professor, KTH Royal Institute of Technology. Director, National Genomics Infrastructure and Genomics Platform, SciLifeLab. Associate Faculty Member, New York Genome Center.
Abstract: Classifying proteins into evolutionary families is important for identifying conserved sequence and structure features that are key to the functional mechanisms of these proteins. Our in-house CATH classification currently classifies ~450,000 protein structures and nearly 150 million protein domain sequences into ...
Group Leader University College London (UCL) & President of the International Society of Computational Biology (ISCB)
Abstract: Carbohydrate-active enzymes (CAZymes), such as glycoside hydrolases and glycosyltransferases, constitute the main machinery for the degradation, synthesis and modification of carbohydrates in nature. They have a myriad of industrial and biotechnological applications, ranging from biofuel production to ...
Abstract: One of the most challenging tasks in computational biology is the integration of complementary biological data produced from different experimental sources. Our goal here is to combine expression data and biological networks to identify “active modules”, i.e. subnetworks of interacting genes/proteins associated with ...
A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks
Speaker:
Elva Novoa
Postdoc at Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31300 Toulouse, France
Sex differences in genetic architecture in UK Biobank
Speaker:
Elena Bernabéu
PhD student at The Roslin Institute, University of Edinburgh
Abstract: Sex is arguably the most important differentiating characteristic in most mammalian species, separating populations into different groups, with varying behaviors, morphologies, and physiologies based on their complement of sex chromosomes, amongst other factors. In humans, despite males and females sharing nearly ident ...
Abstract: Understanding how new enzyme functions evolve, either on existing scaffolds, or completely de novo on previously non-catalytic scaffolds, is of great interest both from a fundamental biochemistry perspective, and from a biotechnological perspective. Several hypotheses have been put forward to rationalize enzyme ...
Harnessing Conformational Dynamics to Engineer New Enzymes
Speaker:
Lynn Kamerlin
Department of Chemistry - BMC, Uppsala University
Abstract: Central to how living systems function are molecular networks defining connections among different types of components such as mRNA, proteins and metabolites. Network-based approaches offer a powerful suite of tools to understand different disease and normal processes and can be grouped into two main classes: (a) ...
Network-based approaches for examining disease and developmental processes
Speaker:
Sushmita Roy
Associate Professor at the Biostatistics and Medical Informatics Department and a faculty at the Wisconsin Institute for Discovery, University of Wisconsin, Madison
Abstract: Identifying the principles that govern the emergence of organisation in non-equilibrium systems remains a central challenge of modern soft matter and physical chemistry. In a living cell, non-equilibrium conditions are necessary for functionality and are maintained by chemical gradients and mechanical forces. These ...
Non-equilibrium molecular assembly: from NON-LIVING to LIVING and back
Speaker:
Andela Saric
Department of Physics& Astronomy, MRC Laboratory for Molecular Cell Biology, University College London
Abstract: Tumors employ complex, multi-scale cellular and molecular interactions that evolve over the course of therapeutic response. The changes in these pathways enables tumors to overcome therapeutic regimens, and ultimately acquire resistance. New molecular profiling technologies, including notably single cell ...
Associate Professor of Oncology, Assistant Director of @HopkinsRPQS SKCCC, Johns Hopkins
Abstract: With decreasing cost of genomic sequencing, cancer research groups are generating large multi-omics and single cell data for various cancer types along with histopathology and radiological images. Researchers face major challenges in secure data management, efficient data analysis and responsible data sharing. At the
Leads a team of software engineers, infrastructure specialists and bioinformaticians at OICR to build tools that empower and accelerate cancer research discoveries.
Abstract: The technological advances and accumulation of biomedical datasets are yielding unprecedented opportunities to better understand genetic diseases, but necessitate proper exploration and integration methods to unravel a complete picture of biological systems. I will discuss about the computational strategies we ...
Creator of the “Networks and Systems Biology for Diseases” team in the Marseille Medica Genetic Unit in 2018.
Abstract:
In cells, the ensemble of billions of reactions in a living organism takes place in heterogeneous and crowded environments that influence the efficiency of the reactivity and the density distribution of participating macromolecules in biological processes and metabolic pathways. Besides the complexity of the inner
The multidimensional problem of protein-protein interaction and protein phase separation: machine learning based solutions at the Bologna Biocomputing group
Speaker:
Rita Casadio
Honorary and Contract Professor at the Bologna University, Italy and Associate Researcher at IBIOM-CNR, Bari, Italy, the Italian central node of ELIXIR.
Abstract: GBM is characterized by intratumoral heterogeneity. Tumor heterogeneity, clonal diversity and mutation acquisition hamper the ability to tailor personalized therapy for GBM. Tumor sampling has limited ability to accurately capture the molecular landscape of the tumor and to disclose acquired molecular aberrations. ...
