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Diogo N. Silva

Researcher at University of Lisbon

Publications -  34
Citations -  1056

Diogo N. Silva is an academic researcher from University of Lisbon. The author has contributed to research in topics: Peroxidase & Colletotrichum kahawae. The author has an hindex of 13, co-authored 28 publications receiving 707 citations. Previous affiliations of Diogo N. Silva include Universidade Nova de Lisboa & Indian Institute of Chemical Technology.

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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.
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The coffee leaf rust pathogen Hemileia vastatrix: one and a half centuries around the tropics.

TL;DR: Gene expression studies have revealed a very precocious activation of signalling pathways and production of putative effectors, suggesting that the plant-fungus dialogue starts as early as at the germ tube stage, and have provided clues for the identification of avr genes.
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Application of the Apn2/MAT locus to improve the systematics of the Colletotrichum gloeosporioides complex: an example from coffee (Coffea spp.) hosts

TL;DR: Following previous studies on this locus, sequence data from an expanded region is generated, revealing increased phylogenetic informativeness when compared to other commonly used markers such as ITS, β-tub2 and GS, and revealed that gene-tree discordance may come to be a common issue in resolving evolutionary relationships in the C. gloeosporioides complex.

Short title: Apn2/MAT in systematics Application of the Apn2/MAT locus to improve the systematics of the Colletotrichum gloeosporioides complex: an example from coffee (Coffea spp.) hosts

TL;DR: In this article, the Apn2/MAT marker alone was almost as informative in terms of phylogenetic resolution as a seven-gene concatenated dataset, highlighting the importance of multilocus approaches.
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Structure_threader: An improved method for automation and parallelization of programs structure, fastStructure and MavericK on multicore CPU systems.

TL;DR: Structure_threader is a program to parallelize multiple runs of genetic clustering software that does not make use of multithreading technology on multicore computers and was proven to be the faster (up to 25% faster) wrapper under all tested scenarios.