Tag: machine learning

A powerful predictive framework that can guide future research

The ‘MHC motif atlas’ interprets data to understand binding specificities. in silico talks – The latest in bioinformatics, by SIB Scientists

What we do The multidisciplinary research activities of the group combine molecular simulations, structural bioinformatics, machine learning and experimental validation. The group contributed to the development of algorithms for overcoming the...

SIB takes part in the international project ENDOTARGET launched this month.

A new study reveals the need to protect species at risk of extinction

What we do Cardio-CARE is involved in the pre-processing, quality control and data analysis of high throughput Omics data. Other core competencies include the planning, conduct, and analysis of clinical studies, such as randomized controlled...

Bringing artificial intelligence and bioinformatics closer in Switzerland, Idiap and SIB signed a collaboration agreement. By becoming a partner institution of SIB, Idiap ensures its groups active in bioinformatics benefit from its national network...

To understand and fight melanoma, it is essential to identify the genes involved in it. What if such information could be automatically retrieved and annotated from the vast research literature? In this in silico talk, SIB Group Leader Fabio...

What we do The Genomics and Health Informatics (GHI) group aims to leverage the power of combined high-content sequencing, cellular imaging, and clinical data to address biological questions related to human disorders. Such questions include how...

What we do The Translational Data Science (TDS) group focuses on developing novel computational tools, statistical methods and machine learning algorithms for the analysis of high-throughput and high-dimensional datasets generated by novel assay...

Could machine learning speed up the clinical identification of resistant microbes? Discover the database built by the team for that purpose, and the new method to retrieve even more information from MS data.

Can more species be saved from extinction by using artificial intelligence? A team of researchers, led by SIB Group Leader Daniele Silvestro of the University of Fribourg and University of Gothenburg, has trained a new software package, CAPTAIN, to...

What we do Tumors are molecularly diverse and each tumor is an evolutionary system on its own. The inter- and intra-tumor heterogeneity influence the clinical and biological behavior of cancers and has important implications in tumor progression,...

What we do The group Multi-omics for healthcare materials focuses on deconvolution of disease-associated cellular signaling networks in order to inform precise imunoengineering solutions. Activities of the group are centered on generating and...

What we do The Cancer Systems Immunology lab focuses on understanding how the immune system responds to cancer. We aim to define cancer-associated immune cell states, to identify the genetic programs that drive their differentiation, to reveal how...

[BC]2 is Switzerland's main event in the domain of Computational Biology, and one of the major events of its kind in Europe. The 2021 edition “Harnessing biological data: from molecular processes to human health” will be held on 13 – 15 September,...

With only 1% difference, the human and chimpanzee protein-coding genomes are remarkably similar. Understanding the biological features that make us human is part of a fascinating debated line of research.

How is machine learning and deep learning used across bioinformatics? Do all ML models necessarily need to be explainable? How can trust from end-users of ML powered applications be fostered?

Addex Therapeutics and SIB have been awarded a CHF600K Innosuisse grant to apply computational approaches developed by SIB to identify new therapeutic indications for a potent and selective dopamine D1 receptor antagonist.

Focus on the group's mission The Vital-IT team provides bioinformatics collaborative support to life science projects in Switzerland and abroad through collaborations with academic and industry partners. Thanks to its diverse expertise in...

Data management We organize, clean & control the quality of your datasets for subsequent analysis. In addition, we can process, transform and align your datasets to existing standards and make them available as a database. We can propose...

SIB, Lunaphore and the Geneva University Hospitals (HUG) are collaborating to enable precision cancer medicine. As part of an Innosuisse project, they aim to develop an integrative solution for the phenotypic analysis of tumors powered by automated...

What we do The Snijder Lab is pioneering multiplexed image-based drug screening in patient biopsies, a technique we call pharmacoscopy, for both systems biology and personalized medicine. In an intervention trial, pharmacoscopy-guided treatments...

What we do The Computational Genetics and Epigenetics of Cancer Group aims to assess contribution of chromatin changes to cancer initiation and progression and associate them with genetic modifications. To achieve this goal, we employ advanced...

What we do The Clinical Proteotype Analysis Center in Zurich is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of disease/wellness, through the development and application of robust, quantitative,...

What we do The Clinical Proteotype Analysis Center in Zurich is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of disease/wellness, through the development and application of robust, quantitative,...

Are you interested in bioinformatics but not affiliated to an SIB Group? Become a member of the LS2 society and benefit from specific advantages.

A short film to revisit the 14th [BC]2 Conference – one of the key bioinformatics events in Europe, which is organized by SIB – around the theme of Big Data in Molecular Medicine.

Being able to visualize the transmission of a virus in real-time during an outbreak, or to better adapt cancer treatment on the basis of the mutations present in a tumour’s individual cells are only two examples of what molecular Big Data can bring...

Join the international [BC]2 conference and EMBO meeting at BASEL LIFE from 9–12 September: a unique opportunity for today’s scientists to get insights and share the latest discoveries, resources and approaches to make sense of genomic and...

Take a closer look at an SIB Resource dedicated to making protein modelling accessible to life scientists from around the world: on the occasion of its 25th anniversary, we put a few questions to the SWISS-MODEL development team...

This week, several deep learning methods have led to remarkable advances at the global event for the evaluation of protein structure prediction methods: the 13th CASP experiment. Torsten Schwede and Matteo Dal Peraro, two SIB Group Leaders involved...

What we do The primary research interest of our group lies at the intersection of machine learning and medicine. We work on advancing and developing novel machine learning techniques for precision medicine, the life sciences and clinical data...

What we do We develop statistical and computational methods to answer biological questions from big data, from genomic sequence data to images. Our work is motivated by both the wealth of biological data currently being generated, as well as by...

What we do The group is active in the fields of comparative genomics and shotgun metagenomics. We study molecular evolution, develop approaches to genomics data analyses, and implement computational pipelines. We apply evolutionary models to...

What we do The Applied Computational Genomics Team focuses on theoretical and computational aspects of modelling the process of genome evolution and adaptive change. With the growing size and complexity of molecular data, we strive to keep pace by...

What we do sciCORE is a center of competence in scientific computing located at the University of Basel. Over 240 research groups and facilities in the fields of bioinformatics, computational chemistry, physics, biology, medicine, and economics...

What we do In the Text Mining Group, we carry out activities in text analytics applied to health and life sciences. Previously hosted by the University Hospitals of Geneva, our group moved to the University of Applied Sciences Geneva (HES-SO- HEG...

What we do We study gene regulation through the analysis and modelling of genome-wide datasets. We collaborate closely with experimental researchers on various biological topics, including cancer progression, chromatin biology and cellular...

What we do In the Science IT (S3IT) unit, we provide support for science in general, and for life science and medicine in particular. S3IT serves as a partner for both local and national projects to enable competitive research with the advanced...

What we do We develop and apply modern machine learning techniques and sequence analysis methods in biology and medicine. In particular, we develop new learning approaches capable of dealing with vast amounts of genomic and medical data. We aim...

What we do We specialize in Information Extraction from biomedically relevant textual sources, such as the scientific literature, clinical records, or social media. We focus in particular on the extraction of domain-specific entities (such as...

What we do With the advent of high-throughput technologies and clinical information systems, the life sciences and clinical sciences now produce very large amounts of data (big data). Our goal at CI4CB is to uncover hidden patterns in these data,...

What we do We study evolution. Topics include genotype-phenotype maps, adaptive landscapes, mutation bias, and the genetic code. We carry out our research using both modeling and data-driven approaches, as well as via collaboration with...

What we do We combine Evolutionary and Developmental Biology as well as genomic approaches with the study of physical processes to understand the mechanisms generating life’s complexity and diversity. The self-organizational capabilities of...

What we do In the Statistical Genetics Group, we are interested in the development of statistical methodologies in order to decipher the genetic architecture of complex human traits related to obesity. To do this, we efficiently combine...

What we do In the Computational Biochemistry Research Group, we are interested in the modelling and analysis of biological problems at the molecular level. In particular, our expertise lies in searching algorithms, optimizing algorithms,...

What we do At the interface of biology and computer science, we seek to better understand evolutionary and functional relationships between genes, genomes and species. Key underlying questions are: How can we extrapolate current biological...

What we do In the Laboratory of Systems Biology and Genetics (LSBG), we use high-throughput sequencing, single cell genomics, microfluidics, and computational approaches: to decipher the regulatory code in Drosophila and mammals with a specific...

What we do The Computational Biology Group is involved in research and teaching in the areas of computational biology, biostatistics, and systems biology. We aim at supporting the rational design of medical interventions in complex and rapidly...