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Banca de DEFESA: MUHSEN HAMMOUD

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : MUHSEN HAMMOUD
DATA : 25/04/2022
HORA: 14:00
LOCAL: https://conferenciaweb.rnp.br/webconf/joao-55
TÍTULO:

Computational Approaches for Analyzing Structured Data in Biological Systematics and Biogeography


PÁGINAS: 160
RESUMO:

Biological sciences use connected acyclic graphs -or trees- to present evolutionary relationships and biogeographical history. The base of trees might be genetic, molecular, morphological, geological, behavioral, or geographical pieces of evidence. In large-scope studies, especially when dealing with many different biological groups or complex biogeographical history, manual data processing becomes infeasible and costly (in terms of time and money). Also, the results might have many errors. Evolutionary biologists already have their methods to process their data. However, applying these methods manually on large data sets is proven not to be practical, which is a significant burden in front of having more understanding of the data at hand. Despite the availability of some approaches for structured data processing, they are either outdated or hard to use (such as command-line tools). This thesis focuses on understanding the very basis of the philosophy of computer science in the context of biological and evolutionary problems, then, based on this understanding, to facilitate evolutionary biologists' work by automating the workflow they follow, rather than changing it. Here, we present four computational approaches, three of which are concerned with building a combined MRP-matrix using input trees in a parenthetical format. These approaches are named as follows: “Generating combined MRP-matrices”, “Generating Topographic-Units MRP-matrix”, and “Generating Combined Areagram MRP-matrix”. While the fourth uses information visualization to facilitate phylogenetic trees comparison named “interactive Phylogenetic trees Comparison (iPhyloC)”. We encapsulated all of the computational approaches in this thesis in easy-to-use web-based frameworks that are available for free online. We developed the four approaches in this thesis in close collaboration with domain experts. The testing results of all the approaches show they are reliable, easy to use and deliver correct results. They indeed help evolutionary biologists to focus on driving results from the data at hand rather than spending time processing the data.


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1672977 - JOAO PAULO GOIS
Membro Titular - Examinador(a) Interno ao Programa - 1722875 - DAVID CORREA MARTINS JUNIOR
Membro Titular - Examinador(a) Externo ao Programa - 1308531 - TIAGO FERNANDES CARRIJO
Membro Titular - Examinador(a) Externo à Instituição - CYNTHIA DE OLIVEIRA LAGE FERREIRA - USP
Membro Titular - Examinador(a) Externo à Instituição - FRANCISCO ELÓI SOARES DE ARAÚJO - UFMS
Membro Suplente - Examinador(a) Interno ao Programa - 1675615 - LUIZ CARLOS DA SILVA ROZANTE
Membro Suplente - Examinador(a) Externo ao Programa - 1834571 - OTTO MULLER PATRAO DE OLIVEIRA
Membro Suplente - Examinador(a) Externo ao Programa - 1676326 - CHARLES MORPHY DIAS DOS SANTOS
Membro Suplente - Examinador(a) Externo à Instituição - WALLACE CORREA DE OLIVEIRA CASACA - UNESP
Notícia cadastrada em: 08/03/2022 13:50
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