science

Swiss Institute of Bioinformatics

Swiss Institute of Bioinformatics is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Swiss Institute of Bioinformatics rather than just read about it. In short: The SIB Swiss Institute of Bioinformatics is an academic not-for-profit foundation dedicated to biological and biomedical data science which federates bioinformatics activities throughout Switzerland. The institute was established on 30 March 1998 and its mission is to provide core bioinformatics resources to the national and international life sciences research community in fields such as genomics, proteomics and s…

Key takeaways

Swiss Institute of Bioinformatics belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Swiss Institute of Bioinformatics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Swiss Institute of Bioinformatics from memory before moving on to harder problems.

Reference excerpt

The SIB Swiss Institute of Bioinformatics is an academic not-for-profit foundation dedicated to biological and biomedical data science which federates bioinformatics activities throughout Switzerland. The institute was established on 30 March 1998 and its mission is to provide core bioinformatics resources to the national and international life sciences research community in fields such as genomics, proteomics and systems biology, as well as to lead and coordinate the field of bioinformatics in Switzerland. It promotes research, develops open databanks and software tools, is involved in teaching and service activities and in the coordination of national and international life science infrastructure projects. It is partly funded by the Swiss government as a research infrastructure of national importance under the Federal Act on the Promotion of Research and Innovation (RIPA).

History The institute was originally created to provide a framework for stable long-term funding for both the Swiss-Prot database and the Swiss EMBnet node. Swiss-Prot in particular went through a major funding crisis in 1996, which led the leaders of the five research groups active in bioinformatics in Geneva and Lausanne, Ron Appel, Amos Bairoch, Philipp Bucher, Victor Jongeneel and Manuel Peitsch to propose the creation of SIB. The Swiss government was at the time looking to support transdisciplinary centers of excellence in future economically important scientific fields, and provided the seed funding. Once established as a non-profit Foundation, the Institute could then apply for Federal funding: by law that support could only amount to 50% of expenses, however. The rest had to come from other sources, i.e. competitive grants and matching funds.

Organisation The SIB includes about 200 employees distributed across Switzerland (Geneva, Lausanne, Basel, Zurich), along with 700 affiliated members across most of Switzerland’s major academic institutions. SIB’s 90 groups are active in fields as varied as environmental bioinformatics, proteomics, transcriptomics, genomics, systems biology, structural bioinformatics, evolutionary bioinformatics, modelling, imaging, biophysics, population genetics and clinical bioinformatics. SIB organizes a biannual international scientific meeting, the [BC]2 (Basel Computational Biology Conference).

Governance and funding The first director of the institute was Victor Jongeneel followed by Ernest Feytmans. Ron Appel, one of its founding members, then led the institution until 2022. SIB receives public funding to support the development of open-data databases and the long-term preservation of scientific data, especially from the Swiss State Secretariat for Education, Research and Innovation (SERI), which contributes around CHF 6.5 million per year. The development of several databases hosted by the SIB also benefited from public funding from the United States.

Areas of activity

Bioinformatics resources The Institute operates the ExPASy bioinformatics resource portal, which encompasses 160 databases and software tools developed by its teams and members. From these, SIB maintains a curated portfolio of open-access resources (known as "SIB Resources") designed to support researchers, educators, students, clinicians, and other specialists. Among the most significant of these resources are Swiss-Prot/UniProtKB, a curated protein sequence database providing a high level of annotation, and STRING, which provides protein interaction networks and enrichment analysis. For structural biology, SWISS-MODEL offers a suite of tools and databases for protein structure homology modelling. Orthology and comparative genomics are served by both OrthoDB, a hierarchical catalogue of eukaryotic orthologs, and SwissOrthology, which incorporates the OMA (Orthologous Matrix) framework. Gene expression across animal species can be explored through Bgee, while Rhea provides a curated reference for biochemical reactions. On the genomics and microbiology side, mOTUs enables microbial taxonomic profiling, and Nextstrain supports real-time tracking of pathogen evolution. Cellosaurus serves as a comprehensive knowledge base on cell lines, and SwissLipids provides an equivalent resource for lipid biology. The Swiss Pathogen Surveillance Platform (SPSP) supports real-time sharing of pathogen sequencing data across a One Health framework. Rounding out the portfolio, ASAP, Bgee, and V-pipe extend SIB's contributions into single-cell analysis and viral genomics respectively.

Bioinformatics services SIB provides bioinformatics and data science services to a range of partners in both the public and private sectors. SIB’s work includes the harmonization, integration and analysis of complex biological data from various experimental technologies, as well as the development of custom software platforms and the provision of tools to support scientific workflows, such as Melanie (2D gel analysis platform). SIB engages in national and international collaborations through public-private partnerships, research grants, and innovation funding schemes such as those supported by Innosuisse. Its partners include universities, hospitals, biotechnology companies, federal authorities and pharmaceutical firms.

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Worked examples

Example 1 — a first encounter with Swiss Institute of Bioinformatics

Start with the simplest possible case. Write down what Swiss Institute of Bioinformatics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Swiss Institute of Bioinformatics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Swiss Institute of Bioinformatics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Swiss Institute of Bioinformatics

In research: Swiss Institute of Bioinformatics appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Swiss Institute of Bioinformatics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Swiss Institute of Bioinformatics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bioinformatics organizations, Organizations established in 1998, Research institutes in Switzerland, so understanding it makes those chapters shorter.
In everyday life: Look for Swiss Institute of Bioinformatics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Swiss Institute of Bioinformatics in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Swiss Institute of Bioinformatics means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Swiss Institute of Bioinformatics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Swiss Institute of Bioinformatics in simple terms?

Why does Swiss Institute of Bioinformatics matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Swiss Institute of Bioinformatics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Swiss Institute of Bioinformatics.