dc.contributor.advisor | Arce, Rafael (Mentor) | |
dc.contributor.author | Rodríguez, Joseph Martire | |
dc.date.accessioned | 2015-11-21T21:33:23Z | |
dc.date.available | 2015-11-21T21:33:23Z | |
dc.date.issued | 2013-03-01 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2738 | |
dc.description.abstract | Robustness is a fundamental property of biological systems which expresses a system’s ability to maintain function in the face of mutational or environmental challenges.. To measure the robustness of a DNA strand we calculate its energy by subtracting its initial and final state, this is also known as Gibbs Free Energy. On a typical mutational robustness algorithm, there is a great number of operations O(n^2) that must be executed per population. Because the values increment given a bigger number of generation and population, faster implementations are required to run this program. Since computations on population members are data independent, this algorithm is a good candidate for improvement by using the parallelism available in field programmable gate arrays (FPGAs). | |
dc.description.sponsorship | Departamento de Ciencias de Cómputos - UPRRP, Universidad Metropolitana, National Science Foundation, Seminario Interuniversitario de Investigación en Ciencias Matemáticas. | |
dc.language.iso | en_US | |
dc.publisher | Seminario Interuniversitario de Investigación en Ciencias Matemáticas (SIDIM) | |
dc.subject | robustness | |
dc.subject | DNA | |
dc.subject | Gibbs Free Energy | |
dc.subject | mutational robustness algorithm | |
dc.title | Pipelined Algorithm to Calculate Gibb’s Free Energy for Mutational Robustness | |
dc.type | Poster | |