Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Advisor "Waack, Stephan Prof. Dr."

New approaches and software for sequence function prediction and gene design integrating specific knowledge on protein structure and translation

Simm, Dominic Alexander (2022-03-18)

In recent years, advances in sequencing techniques resulted in an explosive increase in sequencing data. By now, there are billions of generated protein sequences available in public databases to a large extent without ...

Probabilistic Models to Detect Important Sites in Proteins

Dang, Truong Khanh Linh (2021-02-23)

Proteins are molecular machines playing almost every fundamental role in activities of life. Their biological functions are mostly driven through conformational transitions and interaction interfaces with other bio-molecules ...

Development of Agent-Based Simulation Models for Software Evolution

Honsel, Daniel (2020-02-11)

Software has become a part of everyday life for us. This is also associated with increasing requirements for adaptability to rapidly changing environments. This evolutionary process of software is being studied by a software ...

Interpretable Binary and Multiclass Prediction Models for Insolvencies and Credit Ratings

Obermann, Lennart (2016-06-10)

Insolvency prediction and credit rating are challenging tasks used to evaluate the creditworthiness of commercial enterprises based on qualitative and quantitative attributes. One way to approach these tasks is machine ...

Development of novel Classical and Quantum Information Theory Based Methods for the Detection of Compensatory Mutations in MSAs

Gültas, Mehmet (2014-05-13)

Multiple sequence alignments (MSAs) of homologous proteins are useful tools to characterize compensatory mutations between non-conserved residue sites. The identification of these residue sites in MSAs is an important ...

Prediction of Protein-Protein Interaction Sites with Conditional Random Fields

Dong, Zhijie (2012-11-28)

Protein-protein interactions appear in almost every biological process. Proteins are mainly folded into three dimensional structures, which requires that a meaningful prediction should take consideration of the important ...

Classifiers for Discrimination of Significant Protein Residues and Protein-Protein Interaction Using Concepts of Information Theory and Machine Learning

Asper, Roman Yorick (2012-01-18)

The field of protein-analysis is a major research area for bioinformatics. Especially the field of predicting important sites in proteins is in the focus of research to reduce the cost and ...

Probabilistic Methods for Computational Annotation of Genomic Sequences

Keller, Oliver (2011-02-04)

New sequencing techniques have increased enormously the speed that new genomic sequences are produced. As manual inspection is impossible for this amount of data, there is an ongoing ...

A Biased Urn Model for Taxonomic Identification

Surovcik, Katharina (2009-03-24)

We consider a stochastic model for the problem of taxonomic identification in bacterial genomes, motivated by the detection of horizontal gene transfer between non-closely related species. ...

PAC-Lernen zur Insolvenzvorhersage und Hotspot-Identifikation

Brodag, Thomas (2008-07-22)

Methods of machine learning are a very powerful tool in bioinformatics. Due to their versatility they also proof useful in different fields of application. In case of supervised learning, ...

Evaluierung des phylogenetischen Footprintings und dessen Anwendung zur verbesserten Vorhersage von Transkriptionsfaktor-Bindestellen

Sauer, Tilman (2006-10-27)

The human genome contains between 20000 and 25000 genes, which code for proteins, and RNA genes of different function, but approximately 95% of the human genome are presumably not transcribed. ...