Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rodrigo Gouveia-Oliveira"'
Publikováno v:
Journal of Theoretical Biology. 261:100-106
By examining published, empirical data we show that men and women consistently differ in the shape of the distribution of the number of sexual partners. The female distribution is always relatively narrow-variance is low-with a big majority of women
Publikováno v:
Veterinary Parasitology. 151:27-35
Six Sarcocystis species from reindeer (S. grueneri, S. rangi, S. tarandivulpes, S. hardangeri, S. rangiferi and S. tarandi) have previously been genetically characterised. The aim of this study was to identify possible definitive hosts for S. hardang
Autor:
Peter Wad Sackett, Francisco S. Roque, Anders Gorm Pedersen, Anne Mølgaard, Thomas Sicheritz-Pontén, Rodrigo Gouveia-Oliveira, Rasmus Wernersson
Publikováno v:
Bioinformatics. 25:1963-1965
Summary: InterMap3D predicts co-evolving protein residues and plots them on the 3D protein structure. Starting with a single protein sequence, InterMap3D automatically finds a set of homologous sequences, generates an alignment and fetches the most s
Autor:
Rodrigo Gouveia-Oliveira, Hanne Østergaard Jarmer, Peter Fischer Hallin, Tim T. Binnewies, David W. Ussery
Publikováno v:
Microbiology. 150:3519-3521
Publikováno v:
Algorithms for Molecular Biology, Vol 2, Iss 1, p 12 (2007)
Algorithms for molecular biology : AMB
Algorithms for molecular biology : AMB
Background Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Our goal is to find these coevolving residues. Results We present six new
Autor:
Clara F. T. Yoshida, Elisabeth Lampe, Regina Maria Bringel Martins, Márcia P Espírito-Santo, Nadia R. S. Reis, Sheila Araújo Teles, Megmar Aparecida dos Santos Carneiro, Rodrigo Gouveia-Oliveira
Publikováno v:
Journal of medical virology. 79(9)
An epidemiological and molecular study of hepatitis C virus (HCV) infection was carried out in Brazilian hemodialysis centers. A total of 1,095 patients in all 15 hemodialysis centers in the State of Goias, Brazil, were studied. All patients were int
Publikováno v:
Oliveira, R G, Sackett, P W & Pedersen, A G 2007, ' MaxAlign: maximizing usable data in an alignment ', BMC Bioinformatics, vol. 8, pp. 312 . https://doi.org/10.1186/1471-2105-8-312
BMC Bioinformatics
BMC Bioinformatics, Vol 8, Iss 1, p 312 (2007)
BMC Bioinformatics
BMC Bioinformatics, Vol 8, Iss 1, p 312 (2007)
Background The presence of gaps in an alignment of nucleotide or protein sequences is often an inconvenience for bioinformatical studies. In phylogenetic and other analyses, for instance, gapped columns are often discarded entirely from the alignment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac04739f1cd06baf38689ce513d86c6
https://orbit.dtu.dk/en/publications/bab4e073-5185-452d-bb96-8bf9a30e1bd4
https://orbit.dtu.dk/en/publications/bab4e073-5185-452d-bb96-8bf9a30e1bd4
Publikováno v:
Comparative Genomics ISBN: 9783540314806
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db177a3575531eed58993cfb0207bd2
https://doi.org/10.1007/4735_112
https://doi.org/10.1007/4735_112
Publikováno v:
Bioinformatics (Oxford, England). 20(2)
Motivation: Alignment-free metrics were recently reviewed by the authors, but have not until now been object of a comparative study. This paper compares the classification accuracy of word composition metrics therein reviewed. It also presents a new
Autor:
João A. Carriço, Jonas S. Almeida, António Brito-Avô, Sara Silva, Ilda Santos Sanches, Thorolfur Gudnason, Rodrigo Gouveia-Oliveira, Karl Ekdahl, Hermínia de Lencastre, António Maretzek, Alexander Tomasz, Karl G. Kristinsson
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 3, Iss 1, p 9 (2003)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumonia