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Paula Graça
Researcher at University of Lisbon
Publications - 23
Citations - 330
Paula Graça is an academic researcher from University of Lisbon. The author has contributed to research in topics: Performance indicator & Business ecosystem. The author has an hindex of 7, co-authored 20 publications receiving 231 citations. Previous affiliations of Paula Graça include Instituto Superior de Engenharia de Lisboa & Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Performance indicators for collaborative business ecosystems — Literature review and trends
TL;DR: In this article, the authors present a survey of the potential contributions concerning the assessment of collaborative benefits and performance, and identify the strengths and weaknesses of current proposals regarding the establishment of adequate performance indicators for collaborative business ecosystems.
BookDOI
Technological Innovation for the Internet of Things
TL;DR: The doctoral conference DoCEIS'13 focused on technological innovation for the Internet of Things, challenging the contributors to analyze in which ways their technical and scientific work could contribute to or benefit from this paradigm.
Journal ArticleDOI
Mobilization of retrotransposons as a cause of chromosomal diversification and rapid speciation: the case for the Antarctic teleost genus Trematomus.
Juliette Auvinet,Paula Graça,L. Belkadi,L. Petit,Eric Bonnivard,Agnès Dettai,H. William Detrich,Catherine Ozouf-Costaz,Dominique Higuet +8 more
TL;DR: The predominance of DIRS1 in Trematomus species, their transposition mechanism, and their strategic location in “hot spots” of insertion on chromosomes are likely to have facilitated nonhomologous recombination, thereby increasing genomic rearrangements.
Journal ArticleDOI
MicNeSs: genotyping microsatellite loci from a collection of (NGS) reads
Marie Suez,Marie Suez,Abdelkader Behdenna,Sophie Brouillet,Sophie Brouillet,Paula Graça,Paula Graça,Dominique Higuet,Dominique Higuet,Guillaume Achaz +9 more
TL;DR: An algorithm to automatically and efficiently genotype microsatellites from a collection of reads sorted by individual, which can be used to genotype any microsatellite locus from any organism and has been tested on 454 pyrosequencing data of several loci from fruit flies and red deers.
Book ChapterDOI
The Need of Performance Indicators for Collaborative Business Ecosystems
TL;DR: This work-in-progress addresses this concern, briefly presenting the state of the art of relevant contributing areas such as, collaborative networks, business ecosystems, enterprise performance indicators, social networks analysis, and supply chains.