Abstract: Combinatorial Optimization is a central sub-area in Operations Research that has found many applications in computational biology. In this talk I will survey some of my research in computational biology that uses graph theory, matroid theory, and integer linear programming. The biological applications come from haplotyping, the study of recombination and recombination networks, and phylogenetics
To-day, combinatorics and discrete mathematics are key tools for genome sequencing alignment and ass...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
Biological entities are involved in intricate and complex interactions, in which uncovering the bio...
peer reviewedLast decades brought us a new scientific area of computational biology, placed at the j...
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theo...
This is a survey designed for mathematical programming people who do not know molecular biology and ...
The interest of statistical physics for combinatorial optimization is not new, it suffices to think ...
Much of the research progress that is achieved nowadays in various scientific fields has its origin ...
Mathematical problems such as graph theory problems are of increasing importance for the analysis of...
Network theory is today a central topic in computational systems biology as a framework to understan...
Bioinformatics and network biology provide exciting and challenging research and application areas f...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
This course focuses on the algorithmic and machine learning foundations of computational biology, co...
Computational biology is an interdisciplinary field that applies the techniques of computer science,...
This chapter contains sections titled: -Biology is a Science about Relationships -Network Biology: C...
To-day, combinatorics and discrete mathematics are key tools for genome sequencing alignment and ass...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
Biological entities are involved in intricate and complex interactions, in which uncovering the bio...
peer reviewedLast decades brought us a new scientific area of computational biology, placed at the j...
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theo...
This is a survey designed for mathematical programming people who do not know molecular biology and ...
The interest of statistical physics for combinatorial optimization is not new, it suffices to think ...
Much of the research progress that is achieved nowadays in various scientific fields has its origin ...
Mathematical problems such as graph theory problems are of increasing importance for the analysis of...
Network theory is today a central topic in computational systems biology as a framework to understan...
Bioinformatics and network biology provide exciting and challenging research and application areas f...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
This course focuses on the algorithmic and machine learning foundations of computational biology, co...
Computational biology is an interdisciplinary field that applies the techniques of computer science,...
This chapter contains sections titled: -Biology is a Science about Relationships -Network Biology: C...
To-day, combinatorics and discrete mathematics are key tools for genome sequencing alignment and ass...
Over the last decade networks has become a unifying language in biology. Yet we are only in the begi...
Biological entities are involved in intricate and complex interactions, in which uncovering the bio...