biology

Martin Vingron

Martin Vingron is a biology 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 Martin Vingron rather than just read about it. In short: Martin Vingron (born October 5 1961) is an Austrian mathematician working in the fields of bioinformatics and computational biology. Since 2000, he has been Director of the Max Planck Institute for Molecular Genetics.

Key takeaways

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

Reference excerpt

Martin Vingron (born October 5 1961) is an Austrian mathematician working in the fields of bioinformatics and computational biology. Since 2000, he has been Director of the Max Planck Institute for Molecular Genetics.

Education Vingron grew up in Vienna, and gained his Diploma in Mathematics from the University of Vienna in 1985. He later studied at Heidelberg University and the European Molecular Biology Laboratory, gaining his Dr. rer. nat. (equivalent to a PhD) in Applied Mathematics in 1991. His thesis studied the applications of multiple sequence alignment in molecular biology.

Work and research From 1995-2000, Vingron was Director of the Division of Theoretical Bioinformatics at the German Cancer Research Center. Since 2000, he has been Director of the Max Planck Institute for Molecular Genetics. Since 2006, he has been a part-time Director at the CAS-MPG Partner Institute for Computational Biology in Shanghai, China. Vingron's early work focused on multiple sequence alignment, protein sequences, sequence comparison and molecular evolution. His focus later shifted to the processing and mathematical analysis of DNA microarrays. More recently, his research has explored methods for utilizing gene expression data in the discovery of gene regulatory mechanisms. Vingron has also been a member of the Research in Computational Molecular Biology (RECOMB) conference steering committee.

Awards In 2001, Vingron became an Honorary Professor at the Free University of Berlin. In 2004, together with Gene Myers, Vingron was awarded the Max Planck Research Prize for international cooperation in bioinformatics. He was also elected as a Fellow of the German Academy of Sciences Leopoldina in 2004. In 2012, Vingron was elected as a Fellow of the International Society for Computational Biology.

References

External links Martin Vingron publications indexed by Google Scholar Official website

Illustrations

Worked examples

Example 1 — a first encounter with Martin Vingron

Start with the simplest possible case. Write down what Martin Vingron claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Martin Vingron 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 Martin Vingron 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 Martin Vingron

In research: Martin Vingron appears in biology 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 Martin Vingron 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: Martin Vingron is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1961 births, Austrian biologists, Austrian computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Martin Vingron 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 Martin Vingron in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Martin Vingron 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 Martin Vingron out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Martin Vingron in simple terms?

Why does Martin Vingron matter?

Because it connects several biology 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 Martin Vingron?

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 Martin Vingron.