Summary
The advanced training in applied bioinformatics and biostatistics is the acquisition of skills in an interface science between biology and computer science. You will learn bioinformatics evaluation methods such as Sequence analysis, Next Generation Sequencing (NGS) and the visualization of structures as well as the targeted use of (molecular) biological databases and the application of statistical methods with R / R Studio. Writing smaller evaluation scripts with the Python programming language is also part of the training and rounds off your profile with programming elements.
Contents
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Technical German and basic molecular biology
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Scripting language Shell (BASH) under LINUX
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Basics of programming (programming methodology, pseudocode, data structures)
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Python programming language, object-oriented programming
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Code documentation and version control (Git/GitHub)
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NCBI and interaction databases
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Biopython: Web Services
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Database management,
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Sequence analysis, sequencing strategies (dot plots, alignments, BLAST, etc.)
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Structural bioinformatics, software for the visualization of structures
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Statistical evaluations with R / R-Studio
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Descriptive and multivariate statistics, statistics in bioinformatics
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Variance, principal component, cluster and discriminant analysis
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Workflows with R-Bioconducter
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Markov chain implementation in Python
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Gathering practical experience in Green Biotec / collaborating Institute.
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Job application strategies and Coaching
An internee will be able to develop solutions for scientific problems together with experts from the natural sciences, mathematics and computer science. An internship in a company or institute improves your professional prospects and employment opportunities. With the knowledge you have acquired from the Green Biotec, bioinformatics training course, you have a real knowledge advantage over applicants with the same training background. Both in a bioinformatics-biostastic field of activity as well as in a laboratory.
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