Tag: infectious disease

A powerful predictive framework that can guide future research

SIB experts and resources are taking part in the global effort to develop dedicated data services, analysis tools and improve knowledge sharing to fight the COVID-19 pandemic.

Interview in Basler Zeitung – Life science special supplement (02.09.22), by Alexandra Bucher (edited for length and translated from German).

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...

SIB’s mission, as per its mandate from the Secretariat for Education, Research and Innovation SERI, is to be a provider of long-term, high-impact infrastructure for the life sciences and the biomedical world.

After setting up the Swiss SARS-CoV-2 data hub, SIB is now co-leading an international project to facilitate open sharing of viral genomic sequences in other countries. Through SIB, Switzerland will thus be sharing its experience setting up and...

Today, the delta variant of the virus dominates the Swiss landscape. This is only possible thanks to an unprecedented sequencing effort. At the heart of the process, a national infrastructure, co-led by the SIB Swiss Institute of Bioinformatics,...

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...

Over the past weeks and with the threat of emerging variants growing, pressing calls for an open sharing of SARS-CoV-2 sequencing data were issued by the scientific community. Such sharing would allow fast, representative and large-scale research...

A global group of researchers is calling for better integration of viral genetics, bioinformatics, and public health to enable better pandemic response now and better pandemic preparedness in the future.

From SARS-CoV-2 monitoring to HIV antiviral drug resistance detection, the SIB Resource V-pipe orchestrates several software packages to detect the genomic diversity of a virus population in a sample or individual. 

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,...

A new workshop for classrooms offers the opportunity to discover the SARS-CoV-2 coronavirus, in particular its genome and proteins. These materials result from a partnership between SIB and the University of Lausanne (SCMS).

SIB is a new bioinformatics partner of the QCMD (Quality Control for Molecular Diagnostics) organization. The partnership aims to enhance bioinformatics solutions for international molecular external quality assessments.

In this in silico talk, SIB’s Ugnė Stolz from Tanja Stadler’s Group at ETH Zurich introduces CoalRe, a framework enabling to take into account reassortment when inferring virus evolution and infection pathways.

Scientists at SIB and the University of Basel, and Chelonia Applied Sciences (Basel), are part of a European effort to find molecules active against COVID-19 - and to accelerate this process in the future.

From where did the new coronavirus (nCoV, see box) arise, and how did it move to humans? How is it spreading and evolving? How can we develop therapies to treat it? SIB Groups provide a range of tools and resources that can help researchers answer...

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...

SIB Group Leader Frédérique Lisacek, glycoinformatician, and Philippe Le Mercier, molecular virologist, present a dynamic view of their recent joint paper on this topic and provide a tour d’horizon of the tools developed at SIB that can be used to...

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 In the Computational Evolution Group, we develop phylogenetic tools in order to understand evolutionary processes. Using our phylogenetic methods, we aim to improve our understanding of past evolutionary and population dynamic processes...

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 In the Proteome Informatics Group (PIG), we are involved in software and database development for the benefit of the proteomics and glycomics communities. These resources are made available through the Expasy server. Software tools...

What we do Our goal is to understand how evolution works at the molecular level and how organisms adapt to changing conditions through random mutations and recombination. Pathogens provide excellent model systems for studying these processes. We...

What we do In the Host-Pathogen Genomics Group, we explore the genetic roots of inter-individual differences in response to infections, with a particular focus on the genomic interactions between pathogens and their human hosts. At the crossroads...

What we do The Laboratory of Protein Design & Immunoengineering started in March 2015. We have established both the computational and experimental branches of our research.We currently perform our computational calculations at the High...

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...

At the occasion of SIB's 20th anniversary and of the recent launch of the SantéPerso initiative and platform, the role of bioinformatics in the personalized health context is in the spotlight, with two interviews.

Nature tiptoes along a sturdy yet fragile tightrope. DNA is its backbone and provides a basis from which every single living species on this planet emerges and prospers. Time, however, tampers with everything. Silver turns black. Fruit rots. And...

Recent viral outbreaks such as Ebola or Zika remind us that every new virus has the potential to spread and cause a worldwide epidemic. Being able to map, quantify and make early predictions about the spread of an epidemic is therefore crucial.

A study led by a team of researchers from the Institute of Microbiology of CHUV-UNIL and SIB Swiss Institute of Bioinformatics reveals the mechanisms of antigenic variation used by the pathogen Pneumocystis jirovecii to escape the human immune...

V-Pipe – an emerging tool to help virus genomics investigations –, and SwissLipids – a comprehensive knowledgebase of lipids – recently joined the ranks of the SIB Swiss Institute of Bioinformatics resources. They are filling important gaps in the...

Researchers funded by the SNSF have discovered mutations that worsen respiratory infections among children. Their study explains the mechanism involved.

Most of today's bioinformatics is focused on bacteria and eukaryotic model organisms, while there is an urgent need for applying and developing computational approaches in the field of virology. With the founding of the European Virus...

Identifying and supporting SIB Resources Every four years, the Institute’s External Scientific Advisory Board (SAB) provides recommendations on the portfolio of SIB-supported Resources. By taking into account competitive criteria – such as the...