Tag: oncology

As possibilities of data acquisition to study cancer widen, so do the methods used to investigate and reveal the nature of this complex disease. Recent illustrations of this are the advances in the field of immunotherapy led by clinical researchers...

Acceleration of biomarker identification to improve clinical diagnostics.

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 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...

If you are working in computer-aided drug design, this in silico talk is for you: SIB Senior Research Scientist Ute Röhrig takes you on a journey to push the boundaries of knowledge around IDO1 and its role in immunotherapy resistance.

If you are a researcher using single-cell transcriptomics to study immunology-related problems, you are probably on the lookout for a way to efficiently characterize cell states. This in silico talk presents a powerful tool (ProjecTILs) and...

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 We are the Clinical Computational Biology group at the Institute for Chemistry and Bioanalytics, School for Life Sciences, FHNW. We offer bioinformatics support for various molecular diagnostic assays with a focus on comprehensive...

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...

In its latest version, the cancer diagnostics platform developed jointly by the Geneva University Hospitals (HUG) and SIB offers key additional molecular insights.

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...

The PrecisionMed.ch website, developed by the SIB Swiss Institute of Bioinformatics, in collaboration with the University of Lausanne and the CHUV (Lausanne University Hospital), with the support of the SantéPerSo initiative, offers illustrated...

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...

In 2019, the SIB Bioinformatics Awards will be presented for the 10th time, providing a great occasion to reach out to past laureates and ask them where they are now in their career. In this interview, we met with Josephine Daub, recipient of...

A study led by the EPFL team of Elisa Oricchio and the SIB team of Giovanni Ciriello (University of Lausanne) shows how a mutated gene can affect the three-dimensional interactions of genes in the cell, leading to various forms of cancer.

Bioinformatics is fundamental to precision medicine. But why? How do hospitals and researchers benefit from bioinformatics to help patients? Canal9 TV Channel, the Oncology department of UNIL/CHUV and SIB all set out together to find answers to...

Last week, we announced a series of communications highlighting SIB’s development axes for the years to come. Leveraging the biocuration expertise of the Institute in the context of personalized health is one of them...

What we do The laboratory specializes in the development of computer-aided algorithms, programs and databases for protein engineering, drug design and structure-based immunoinformatics with applications in oncology, notably in immunotherapy of...

What we do We are the NEXUS Personalized Health Technologies at the ETH Zurich. Our unit offers highly customizable bioinformatics, biostatistics and software engineering services for projects in the field of biomedical research and development....

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 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 The Molecular Modelling Group studies molecular interactions using modelling techniques such as homology modelling, molecular dynamics, docking and free energy simulations. Our main activity consists in developing and applying methods...

What we do The Molecular Modelling Group studies molecular interactions using modelling techniques such as homology modelling, molecular dynamics, docking and free energy simulations. Our main activity consists in developing and applying methods...

What we do The Computational Biology Group (CoBi) develops computational models of developmental processes. We focus on the delineation of fundamental developmental mechanisms and develop data-driven mechanistic 4D in silico models of...

What we do In the Computational Cancer Biology Group, our aim is to study interactions between cancer and immune cells. We are focusing on molecular and cellular aspects of cancer immune cell interactions. At the molecular level, we have developed...

What we do The Bioinformatics Core Unit (BCU) supports the research groups at the Institute of Oncology Research (IOR) with computational and statistical services. We focus our research interests on the genetics and biology of cancer with a major...

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 Systems Oncology lab integrates algorithmic design, numerical modelling, and molecular biology approaches to address relevant questions in cancer biology and therapeutics. We explore single and combinations of genetic...

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...

What we do The Computational Oncogenomics Group works on the computational analysis of structural genome variations in cancer, centred around our arrayMap and Progenetix resources of curated molecular-cytogenetic and sequencing data.Specific...

Discover the story of the patients for whom personalized medicine is already a reality. A TV documentary invites you to follow them with a team of oncologists, pathologists, biologists and bioinformaticians, in their search for a treatment against...

The National Steering Board of SPHN has recently approved the 15 projects that will help develop the infrastructure required to make health-related data interoperable and shareable across Switzerland.

The University Hospital of Basel is launching a CAS in personalized molecular oncology with the SIB Swiss Institute of Bioinformatics and the University Hospital of Lausanne. First of its kind in Switzerland, this training takes place at a key...

Improving cancer precision therapy requires a greater ability to identify and describe groups of patients who share the same molecular and clinical particularities. An SIB Swiss Institute of Bioinformatics group recently played a pivotal role in...

On 28 September, the SIB Swiss Institute of Bioinformatics held its first course dedicated to clinicians and clinical laboratory professionals.This one-day course aimed at providing participants with a deepened knowledge, experience and...

Being able to predict the resistance or sensitivity of a tumour cell to a drug is a key success-factor of cancer precision therapy. But such a prediction is made difficult by the fact that genetic alterations in tumours change dynamically over time...

When it comes to fighting cancer, obtaining a diagnosis a day earlier, as well as saving one full day per week of clinical lab professionals’ precious time, can have important benefits for patients, hospitals and health insurance alike. This and...

“Stick out your tongue and say... ‘omics’”.In addition to patients’ vital signs or eating habits, molecular profiling data is increasingly becoming part of the medical practitioners’ toolbox. But these ‘omics’ data pose novel challenges, for...

Bringing medicinal chemistry and bioinformatics to the layman, by using a didactic online platform based on professional tools, is the goal of the Drug Design Workshop. Developed in 2015 by SIB researchers, together with training and outreach...