Manuel A. S. Santos

dblp:04/3464 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-0437-1146ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › synthetic biology
codon optimization
0.112012
EuGene: maximizing synthetic gene design for heterologous expression · Bioinform. 2012
Bioinformatics and computational biology
synthetic biology
0.112012
EuGene: maximizing synthetic gene design for heterologous expression · Bioinform. 2012
Bioinformatics and computational biology › synthetic biology
synthetic gene design
0.112012
EuGene: maximizing synthetic gene design for heterologous expression · Bioinform. 2012

Methods — techniques the papers use, named apart from their topics

multi-objective optimization · 0.1codon adaptation index · 0.1
YearPublicationVenuePosition
2016 Corrigendum: EuGene: maximizing synthetic gene design for heterologous expression
abstract
Bioinformatics (2012) 28(20), 2683–2684 The authors of the above article wish to amend the funding acknowledgement, so that it reads as follows: This article was partially supported by the European projects MEPHITIS and GEN2PHEN and by FEDER funds through the Programa Operacional Factores de Competitividade - COMPETE (FCOMP-01-0124-FEDER-014284) and by National Funds through FCT - Foundation for Science and Technology in the scope of the research project ref. PTDC/BIA-GEN/110383/2009. P.G. was supported by FCT-SFRH/BD/71063/2010. The authors apologize for this error.
Paulo Gaspar, José Luís Oliveira, Jörg Frommlet, Manuel A. S. Santos, Gabriela R. Moura
Bioinform.4
2012 EuGene: maximizing synthetic gene design for heterologous expression
abstract
UNLABELLED: Numerous software applications exist to deal with synthetic gene design, granting the field of heterologous expression a significant support. However, their dispersion requires the access to different tools and online services in order to complete one single project. Analyzing codon usage, calculating codon adaptation index (CAI), aligning orthologs and optimizing genes are just a few examples. A software application, EuGene, was developed for the optimization of multiple gene synthetic design algorithms. In a seamless automatic form, EuGene calculates or retrieves genome data on codon usage (relative synonymous codon usage and CAI), codon context (CPS and codon pair bias), GC content, hidden stop codons, repetitions, deleterious sites, protein primary, secondary and tertiary structures, gene orthologs, species housekeeping genes, performs alignments and identifies genes and genomes. The main function of EuGene is analyzing and redesigning gene sequences using multi-objective optimization techniques that maximize the coding features of the resulting sequence. AVAILABILITY: EuGene is freely available for non-commercial use, at http://bioinformatics.ua.pt/eugene.
Paulo Gaspar, José Luís Oliveira, Jörg Frommlet, Manuel A. S. Santos, Gabriela R. Moura
Bioinform.4