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Mário Ramirez

Researcher at Instituto de Medicina Molecular

Publications -  143
Citations -  6591

Mário Ramirez is an academic researcher from Instituto de Medicina Molecular. The author has contributed to research in topics: Serotype & Multilocus sequence typing. The author has an hindex of 40, co-authored 137 publications receiving 5723 citations. Previous affiliations of Mário Ramirez include Universidade Nova de Lisboa & University of Lisbon.

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Global optimal eBURST analysis of multilocus typing data using a graphic matroid approach

TL;DR: GoeBURST is a globally optimized implementation of the eBURST algorithm, that identifies alternative patterns of descent for several bacterial species and can be applied to any multilocus typing data based on the number of differences between numeric profiles.
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PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods

TL;DR: PHYLOViZ is platform independent Java software that allows the integrated analysis of sequence-based typing methods, including SNP data generated from whole genome sequence approaches, and associated epidemiological data.
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Illustration of a common framework for relating multiple typing methods by application to macrolide-resistant Streptococcus pyogenes

TL;DR: A framework of measures for the quantitative assessment of correspondences between different typing methods is proposed as a first step to the global mapping of type equivalences and showed that if PFGE or MLST data are available one can confidently predict the emm type.
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PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods

TL;DR: PHYLOViZ 2.0 is presented, an extension of PHYLoviZ tool, a platform independent Java tool that allows phylogenetic inference and data visualization for large datasets of sequence based typing methods, including Single Nucleotide Polymorphism (SNP) and whole genome/core genome Multilocus Sequence Typing (wg/cgMLST) analysis.
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chewBBACA: A complete suite for gene-by-gene schema creation and strain identification.

TL;DR: The chewBBACA suite was designed to assist users in the creation and evaluation of novel whole-genome or core- genome gene-by-gene typing schemas and subsequent allele calling in bacterial strains of interest.