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Arlindo L. Oliveira
Researcher at University of Lisbon
Publications - 167
Citations - 7790
Arlindo L. Oliveira is an academic researcher from University of Lisbon. The author has contributed to research in topics: Compressed suffix array & Sequential logic. The author has an hindex of 34, co-authored 154 publications receiving 6991 citations. Previous affiliations of Arlindo L. Oliveira include Technical University of Lisbon & University of California, Berkeley.
Papers
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Book ChapterDOI
Efficient and accurate haplotype inference by combining parsimony and pedigree information
TL;DR: A new Boolean optimization model for haplotype inference combining two combinatorial approaches: the Minimum Recombinant Haplotyping Configuration (MRHC), which minimizes the number of recombinant events within a pedigree, and the Haplotype Inference by Pure Parsimony (HIPP), that aims at finding a solution with a minimum number of distinct haplotypes within a population.
Book ChapterDOI
Efficient Extraction of Structured Motifs Using Box-Links
TL;DR: A new data structure, called box-link, stores the information on how to jump over the spacings which separate each motif in a structured motif.
Proceedings ArticleDOI
Using complementation and resequencing to minimize transitions
TL;DR: This paper presents a polynomial-time approximation algorithm to solve DOPI that comes within a factor of 1.5 from the optimum, and shows that resequencing along with complementation leads to 34.4% reduction in switching activity.
Journal ArticleDOI
ccrB typing tool : an online resource for staphylococci ccrB sequence typing
Duarte C. Oliveira,Mauro Santos,Catarina Milheiriço,João A. Carriço,Susana Vinga,Arlindo L. Oliveira,Hermínia de Lencastre,Hermínia de Lencastre +7 more
TL;DR: This work confirmed the very close relationships among ccrAB alleles associated with SCCmec types I–IV and VI, which was found to be independent of the MRSA lineage, geographic origin or isolation period, and developed an online resource for storage and automatic analysis of ccrB internal sequences obtained using the previously published protocol.
Journal ArticleDOI
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
TL;DR: It is concluded that many biologically relevant motifs appear heterogeneously distributed in the promoter region of genes, and therefore, that non-uniformity is a good indicator of biological relevance and can be used to complement over-representation tests commonly used.