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Now that you have an impression of what the master's course Bioinformatics at the Freie Universität has to offer there is only one page left before we inform you where to apply.
We ask you to carefully read the questions below and honest to yourself keep track of how many questions you answer with 'yes'. It's not a problem if you answer one or two with 'no' but if that number goes up to a third or even half of the questions you should seriously consider if a master's in Bioinformatics is the right choice for you at this moment.
- You know what the O-notation is and you can apply it in the context of complex algorithms.
- You can explain the difference between breadth first and depth first search in a graph.
- You have advanced knowledge in at least one higher programming language, such as C/C++, Java or Python.
- You have implemented some form of a divide&conquer approach for a bioinformatics problem.
- You have used a code collaboration system, such as GIT or SVN when working on your programming projects.
- You know the difference between a classification and a clustering approach.
- You have heard about differential equations and can analyse and derive them.
- You are familiar with the concept of uncertainty and error propagation.
- You know when to use a t-test.
- You can describe the main parts of a Hidden Markov Model and could explain the Viterbi algorithm.
- You are able to name different types of probability distributions and an example when to use them.
- You can describe an algorithm for detecting genes in a given DNA sequence.
- You can set-up a pipeline to analyse data from a high-throughput omics experiment.
- You know how to find clusters in a protein-protein network and why this can be useful.
- You understand the idea of single-cell sequencing and can name advantages and disadvantages of this technology.
- You can explain the idea of Molecular Dynamics simulations and give an example for when they are useful in bioinformatics.
- You know the structure of a protein-coding gene and know the purpose of the single parts it consists of.
- You can describe how gene expression is regulated, including post-transcriptional mechanisms of gene regulation.
- You know the 20 human amino acids and their properties.
- You understand how signaling cascades in cells work and can name a few examples.
- You know what influences heart rate and blood pressure and know how to measure them.