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Bioinformatics: A Challenge to Constraint Programming
November 2010
PBLOLP10
Bioinformatics is a rapidly growing field at the intersection of biology and computer science. As such, it poses a wealth of problems, opportunities, and challenges for both areas. This paper overviews some of these issues, with an emphasis on those that seem most amenable to constraint programming (CP) approaches and where CP has made some progress. Since bioinformatics is tightly focused on real-life applications, this paper does not expand on theoretical principles but, rather, tries to give an idea of the practical issues. At this light, the paper briefly presents the selected problems together with the solutions found so far, that illustrate the versatility of CP techniques that have been used in this area and the need to integrate them with other complementary techniques to handle realistic applications.
Book chapter
Pedro Barahona, Ludwig Krippahl, Olivier Perriquet
Michela Milano, Pascal Van Hentenryck
Hybrid Optimization
Springer Optimization and its Applications
Springer
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463-85
978-1-4419-1643-3
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Pedro Barahona and Ludwig Krippahl and Olivier Perriquet, Bioinformatics: A Challenge to Constraint Programming, in: Michela Milano and Pascal Van Hentenryck (eds), Hybrid Optimization, Springer Optimization and its Applications, Springer, ISBN 978-1-4419-1643-3, Pag. 463-85, November 2010.
<a href="/people/members/view.php?code=7e27bc13fad97e99cd21ea6914d55659" class="author">Pedro Barahona</a>, <a href="/people/members/view.php?code=195d68ea5904b58472fd8c8aedcae233" class="author">Ludwig Krippahl</a> and <a href="/people/members/view.php?code=5ea29c73f46cfe62280b03c53abb361f" class="author">Olivier Perriquet</a>, <b>Bioinformatics: A Challenge to Constraint Programming</b>, in: Michela Milano and Pascal Van Hentenryck (eds), <u>Hybrid Optimization</u>, Springer Optimization and its Applications, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, ISBN 978-1-4419-1643-3, Pag. 463-85, November 2010.
@incollection {PBLOLP10, author = {Pedro Barahona and Ludwig Krippahl and Olivier Perriquet}, editor = {Michela Milano and Pascal Van Hentenryck}, title = {Bioinformatics: A Challenge to Constraint Programming}, booktitle = {Hybrid Optimization}, series = {Springer Optimization and its Applications}, publisher = {Springer}, pages = {463-85}, isbn = {978-1-4419-1643-3}, abstract = {Bioinformatics is a rapidly growing field at the intersection of biology and computer science. As such, it poses a wealth of problems, opportunities, and challenges for both areas. This paper overviews some of these issues, with an emphasis on those that seem most amenable to constraint programming (CP) approaches and where CP has made some progress. Since bioinformatics is tightly focused on real-life applications, this paper does not expand on theoretical principles but, rather, tries to give an idea of the practical issues. At this light, the paper briefly presents the selected problems together with the solutions found so far, that illustrate the versatility of CP techniques that have been used in this area and the need to integrate them with other complementary techniques to handle realistic applications.}, month = {November}, year = {2010}, }
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