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CS
Bioinformatics Track Find the
latest official information here:
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Contents
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CS Bioinformatics Kick-OffThe CS Bioinformatics Kick-Off will take place on Monday September 4th 2017 from 13.30 - 15.30 in Room 174 of the Snellius Building, Niels Bohrweg 1 in Leiden.
DescriptionThe main focus of the Bioinformatics specialisation is on Data Analysis and Modeling, which represents the unique expertise of the different research groups of Leiden University and the Delft University of Technology participating in this research oriented specialisation. This expertise is used to address issues like data capturing, data warehousing, data analysis and data mining that have become major challenges in the field of Bioinformatics due to the tremendous complexity and abundance of quantitative data in biology and medicine. On the other hand, bioinformatics heavily contributes to the identification of new fundamental computer science principles and the development of new informatics tools.
Bioinformatics offers a unique new synthetic approach for formulating hypotheses and solving problems in (molecular-) biology versus the classical reductionistic approach. Students from any university in The
Netherlands with a BSc degree in Computer Science or
with a BSc major in Computer Science will be
admitted to the programme. ProgrammeThe programme is 120 EC in extent. The programme is outlined below.
Every
student of the Bioinformatics specialisation has to
complete the core programme. Specialisation Courses (24 EC)A choice can be made out of different specialisation courses. The specialisation courses have level 500, and range from 3 - 6 EC. The total of 24 EC is indicative and depends on the extent of the student’s support programme and research assignment. The selection of the specialisation courses takes place in coordination with the Bioinformatics specialisation study adviser. Support Programme (max 12 EC)For each student a support programme will be defined by the Bioinformatics specialisation study adviser. The support programme consists of tutors or courses in Life Science, Computer Science, Mathematics, or of optional courses for deficiency programmes. The support programme will consist of a maximum of 10 EC. Research assignment (15 EC) Master’s
research project (45 EC) |
Core Program (24 EC)
Specialization Courses (24 EC)
Research Project (15 EC) Master Thesis Project (45 EC) 2016 - 2017 Nieboer, M.M.: Reconstructing the subclonal evolution of tumors from targeted sequencing data 2014 - 2015 Hoogenboom, Jerry: Characterisation and Filtering of Systemic Noise in NGS Data with Applications in Forensics Liem, Michael: Characterizing mapk signaling in different cancers Through large public datasets Neuteboom, Jonathan: Protein structure prediction by
Iterative fragmen T Asssembly (PITA) (CS) 2013 - 2014 Jonathan den Boer: Development of Quality Assessment Methods for De Novo Transcriptome Assemblies & Expression Analysis Jasper Linthorst: Probubble: variant calling through the alignment of overlap based de-novo assembly graphs Yuxiang Liu: Gene Name Normalization by using Deep Belief Networks (CS) Joeri Meijsen (Bio-informatics): Identifying soft selective sweeps in the human genome from the spatial distribution of strong selective sweeps Dimitrios Palachanis:Using the Multiple Instance Learning framework to address differential regulation Johanna Pagano (Bio-informatics): Multi-scale Analysis of Enhancer Gene Relations in Nine Inbred Rat Strains Dimitra Zafeiropoulou (bio-informatics): Genotypes-phenotype predictions in patients diagnosed with early onset Alzheimer 2013 Youri Hoogstrate: A Voyage Through Protein Sequence Space Dimitar Kolev: Prediction of ProteinThree-Dimensional Structure 2012 Thies Gehrman: Conditional random fields for protein function prediction 2011 Alexey Gritsenko: Scaffolding of Next-Generation Sequencing Assemblies Using Diverse Information Sources Orr Shomroni: A Gaussian Random Field Algorithm used to Analyse MicroArray Data from Multiple Species 2010 Saskia Hiltemann: Dynamical Systems: Connected Predator-Prey Systems Alexander Aleman: Self-adaptive Mutation in Molecular Evolution 2009 Zi Di: Systematic Evaluation of Image Analysis for Cell-Matrix Adhesion Studies in Cytomics 2008 Kuan Yan: Object Tracking and Data Analysis of Migrating Tumor Cells Visualized by time-lapse video Yan Zhang: Estimation of 3D Motion in time sequences of volumetric MRI data (CS) Anyi Zhang: Bayesian Mixed Integer Optimization Using A-Priori Knowledge on Variable Dependences 2006 Remco van Kerhoff: Analysis of DNA Sequence
Using Signal Processing Techniques (CS) Maarten van Iterson: Collecting and Analyzing Natural Variants in G Protein Coupled Receptors
Registration at TU
Delft (updated) You need to register as a (bijvak)-student at TU Delft as you will need access to computers, blackboard, courses and exams. The registration procedure that you have to follow in order to obtain the TU Delft blackboard account is as follows:
Note: this of course assumes that you completed your
registration at Registration at Leiden University If you want to follow courses like Databases and Data Mining at Leiden University, you have to register as a guest-student. To register as a guest-student please follow the procedure described at the following page: http://www.students.leiden.edu/application-admission/other-modes-of-study/other-modes-of-study.html |
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