[EN]So-called string problems are abundant in bioinformatics and computational biology. New optimization problems dealing with DNA or protein sequences are constantly arising and researchers are highly in need of efficient optimization techniques for solving them. One obstacle for optimization practitioners is the atypical nature of these problems which require an interdisciplinary approach in order to solve them efficiently and accurately.This work was supported by grant TIN2012-37930-C02-02 from the Spanish Government. Support from CSIC (Spanish National Research Council) and IKERBASQUE (Basque Foundation for Science) is also acknowledged. We thank RDlab1, a BarcelonaTech facility, for allowing us to perform the experiments partly ...
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theo...
This thesis introduces and analyzes a collection of string algorithms that are at the core of severa...
High-throughput techniques in biology have enabled the generation of enormous amount of data allowin...
Metaheuristic algorithms are employed to solve complex and large-scale optimization problems in many...
In the last two decades, the study of gene structure and function and molecular genetics have become...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields, ri...
AbstractBioinformatics, the discipline which studies the computational problems arising from molecul...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields. It...
The information that can be inferred or predicted from knowing the genomic sequence of an organism i...
In the past few years a large number of molecular biology problems have been formulated as combinato...
111 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The last part of this dissert...
The study of biological and genetic information, mostly DNA data, is an extremely important subject ...
The workshop covers research in all aspects of algorithms in bioinformatics. The emphasis is on disc...
The alignment of more than two biological sequences is a widely used technique in a number of areas ...
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theo...
This thesis introduces and analyzes a collection of string algorithms that are at the core of severa...
High-throughput techniques in biology have enabled the generation of enormous amount of data allowin...
Metaheuristic algorithms are employed to solve complex and large-scale optimization problems in many...
In the last two decades, the study of gene structure and function and molecular genetics have become...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields, ri...
AbstractBioinformatics, the discipline which studies the computational problems arising from molecul...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
Computational molecular biology has emerged as one of the most exciting interdisciplinary fields. It...
The information that can be inferred or predicted from knowing the genomic sequence of an organism i...
In the past few years a large number of molecular biology problems have been formulated as combinato...
111 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The last part of this dissert...
The study of biological and genetic information, mostly DNA data, is an extremely important subject ...
The workshop covers research in all aspects of algorithms in bioinformatics. The emphasis is on disc...
The alignment of more than two biological sequences is a widely used technique in a number of areas ...
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theo...
This thesis introduces and analyzes a collection of string algorithms that are at the core of severa...
High-throughput techniques in biology have enabled the generation of enormous amount of data allowin...