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Studies on genome comparison

Grant number:18/00031-7
Support Opportunities:Regular Research Grants
Start date: December 01, 2018
End date: November 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Theory of Computation
Principal Investigator:João Meidanis
Grantee:João Meidanis
Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
City of the host institution:Campinas
Associated scholarship(s):20/00975-5 - Applications of the Matrix-Based Theory for Genome Rearrangements, BP.TT

Abstract

This project aims at advancing the matrix theory of genome rearrangements,introduced by Meidanis, Zanetti, and Biller, by applying it to practicalcases of genome comparison in microbes, fungi, plants, and mammals,in colalboration with bioscientists. The main problems tackled here arebuilding phylogenetic trees for the species, and inferring the ancestralgenomes occupying the internal nodes of these phylogenies.At the same time, it is our goalto refine the methods from the mathematical and computational point ofview, improving the algorithms and complementing the implementationwith supporting software that streamlines their use in practice. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Articles published in other media outlets ( ):
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (8)
(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)
MEIDANIS, JOAO; CHINDELEVITCH, LEONID. Fast median computation for symmetric, orthogonal matrices under the rank distance. Linear Algebra and its Applications, v. 614, n. SI, p. 394-414, . (18/00031-7)
MENDOZA, JULIO; PEDRINI, HELIO; FARINELLA, GM; RADEVA, P; BRAZ, J. Self-supervised Depth Estimation based on Feature Sharing and Consistency Constraints. VISAPP: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 4: VISAPP, v. N/A, p. 8-pg., . (17/12646-3, 18/00031-7)
BILLER, PRISCILA; PEREIRA ZANETTI, JOAO PAULO; MEIDANIS, JOAO; SETUBAL, JC; SILVA, WM. Center Genome with Respect to the Rank Distance. ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, BSB 2020, v. 12558, p. 9-pg., . (12/13865-7, 12/14104-0, 18/00031-7)
MEIDANIS, JOAO; CHINDELEVITCH, LEONID. Fast median computation for symmetric, orthogonal matrices under the rank distance. Linear Algebra and its Applications, v. 614, p. 21-pg., . (18/00031-7)
GIUSTI, GUILHERME NAVARRO NILO; JOTTA, PATRICIA YOSHIOKA; LOPES, CAROLINE DE OLIVEIRA; GANAZZA, MONICA APARECIDA; AZEVEDO, AMILCAR CARDOSO; BRANDALISE, SILVIA REGINA; MEIDANIS, JOAO; YUNES, JOSE ANDRES. Test trial of spike-in immunoglobulin heavy-chain (IGH) controls for next generation sequencing quantification of minimal residual disease in acute lymphoblastic leukaemia. British Journal of Haematology, v. 189, n. 4, p. 5-pg., . (18/00031-7, 17/03942-8)
PEREIRA ZANETTI, JOAO PAULO; OLIVEIRA, LUCAS PERES; CHINDELEVITCH, LEONID; MEIDANIS, JOAO. Generalizations of the genomic rank distance to indels. Bioinformatics, v. 39, n. 3, p. 10-pg., . (17/02748-3, 20/00740-8, 18/00031-7)
GIUSTI, GUILHERME NAVARRO NILO; JOTTA, PATRICIA YOSHIOKA; LOPES, CAROLINE DE OLIVEIRA; GANAZZA, MONICA APARECIDA; AZEVEDO, AMILCAR CARDOSO; BRANDALISE, SILVIA REGINA; MEIDANIS, JOAO; YUNES, JOSE ANDRES. Test trial of spike-in immunoglobulin heavy-chain (IGH) controls for next generation sequencing quantification of minimal residual disease in acute lymphoblastic leukaemia. British Journal of Haematology, v. 189, n. 4, . (18/00031-7, 17/03942-8)
MENDOZA, JULIO; PEDRINI, HELIO; PENG, Y; HU, SM; GABBOUJ, M; ZHOU, K; ELAD, M; XU, K. Adaptive Self-supervised Depth Estimation in Monocular Videos. IMAGE AND GRAPHICS (ICIG 2021), PT III, v. 12890, p. 13-pg., . (18/00031-7, 17/12646-3)