Brief. Bioinformatics - Teaching the bioinformatics of signaling networks: an integrated approach to facilitate multi-disciplinary learning.

Tópicos

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Resumo

The number of bioinformatics tools and resources that support molecular and cell biology approaches is continuously expanding. Moreover, systems and network biology analyses are accompanied more and more by integrated bioinformatics methods. Traditional information-centered university teaching methods often fail, as (1) it is impossible to cover all existing approaches in the frame of a single course, and (2) a large segment of the current bioinformation can become obsolete in a few years. Signaling network offers an excellent example for teaching bioinformatics resources and tools, as it is both focused and complex at the same time. Here, we present an outline of a university bioinformatics course with four sample practices to demonstrate how signaling network studies can integrate biochemistry, genetics, cell biology and network sciences. We show that several bioinformatics resources and tools, as well as important concepts and current trends, can also be integrated to signaling network studies. The research-type hands-on experiences we show enable the students to improve key competences such as teamworking, creative and critical thinking and problem solving. Our classroom course curriculum can be re-formulated as an e-learning material or applied as a part of a specific training course. The multi-disciplinary approach and the mosaic setup of the course have the additional benefit to support the advanced teaching of talented students.

Resumo Limpo

number bioinformat tool resourc support molecular cell biolog approach continu expand moreov system network biolog analys accompani integr bioinformat method tradit informationcent univers teach method often fail imposs cover exist approach frame singl cours larg segment current bioinform can becom obsolet year signal network offer excel exampl teach bioinformat resourc tool focus complex time present outlin univers bioinformat cours four sampl practic demonstr signal network studi can integr biochemistri genet cell biolog network scienc show sever bioinformat resourc tool well import concept current trend can also integr signal network studi researchtyp handson experi show enabl student improv key compet teamwork creativ critic think problem solv classroom cours curriculum can reformul elearn materi appli part specif train cours multidisciplinari approach mosaic setup cours addit benefit support advanc teach talent student

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