chemistry

Mark B. Gerstein

Mark B. Gerstein is a chemistry 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 Mark B. Gerstein rather than just read about it. In short: Mark Bender Gerstein is an American scientist working in bioinformatics and data science. He is the Albert L.

Key takeaways

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

Reference excerpt

Mark Bender Gerstein is an American scientist working in bioinformatics and data science. He is the Albert L. Williams Professor of Biomedical Informatics, professor of molecular biophysics & biochemistry, professor of statistics & data science, and professor of computer science at Yale University. He is also co-director of the Yale Computational Biology and Bioinformatics program. In 2018, Gerstein was named co-director of the Yale Center for Biomedical Data Science.

Education After graduating from Harvard College summa cum laude with a Bachelor of Arts in physics in 1989, Gerstein did a PhD co-supervised by Ruth Lynden-Bell at the University of Cambridge and Cyrus Chothia at the Laboratory of Molecular Biology on liquid simulation and macromolecular conformational change in proteins, graduating in 1993. He then went on to postdoctoral research in bioinformatics at Stanford University from 1993 to 1996 supervised by Nobel-laureate Michael Levitt.

Research Gerstein does research in the field of bioinformatics. This involves applying a range of computational approaches to problems in molecular biology, including data mining and machine learning, molecular simulation, and database design. His research group has a number of foci including annotating the human genome, personal genomics, cancer genomics, building AL/ML tools, analyzing molecular networks, simulating macromolecular motions, and processing biosensor and imaging data. Notable databases and tools that the group has developed include the Database of Macromolecular Motions, which categorizes macromolecular conformational change; tYNA, which helps analyze molecular networks; PubNet, which analyzes publication networks; PeakSeq, which identifies regions in the genome bound by particular transcription factors; and CNVnator, which categorizes block variants in the genome. Gerstein has also written extensively on how general issues in data science impact on genomics—in particular, in relation to privacy and to structuring scientific communication. Gerstein's work has been published in peer reviewed scientific journals and non-scientific publications in more popular forums. His work has been highly cited, with an H greater than 200. He serves on a number of editorial and advisory boards, including those of PLoS Computational Biology, Genome Research, Genome Biology, and Molecular Systems Biology. He has been quoted in the New York Times, including on the front page, and in other major newspapers.

Awards and honors In addition to a W. M. Keck Foundation Distinguished Young Scholars award, Gerstein has received awards from the US Navy, IBM, Pharmaceutical Research and Manufacturers of America, and the Donaghue Foundation. He is a Fellow of the AAAS. Other awards include a Herchel-Smith Scholarship supporting his doctoral work at Emmanuel College, Cambridge and a Damon Runyon Cancer Research Foundation Postdoctoral Fellowship. He is a contributor to a number of scientific consortia including ENCODE, modENCODE, 1000 Genomes Project, Brainspan, and DOE Kbase. He was made a Fellow of the International Society for Computational Biology (ISCB) in 2015 and also received an Accomplishments by a Senior Scientist Award from the ISCB in 2023.

References

External links

Mark Gerstein Laboratory at Yale Mark Gerstein at Yale School of Medicine Mark Gerstein publications indexed by Google Scholar Mark Gerstein publications on ResearchGate Mark Gerstein at DBLP Bibliography Server

Worked examples

Example 1 — a first encounter with Mark B. Gerstein

Start with the simplest possible case. Write down what Mark B. Gerstein claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In chemistry, 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 Mark B. Gerstein 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 Mark B. Gerstein 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 Mark B. Gerstein

In research: Mark B. Gerstein appears in chemistry 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 Mark B. Gerstein 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: Mark B. Gerstein is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American biologists, Alumni of Emmanuel College, Cambridge, American bioinformaticians, so understanding it makes those chapters shorter.
In everyday life: Look for Mark B. Gerstein 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 Mark B. Gerstein in 20 minutes

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

Frequently asked questions

What is Mark B. Gerstein in simple terms?

Mark Bender Gerstein is an American scientist working in bioinformatics and data science. He is the Albert L.

Why does Mark B. Gerstein matter?

Because it connects several chemistry 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 Mark B. Gerstein?

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 Mark B. Gerstein.