Molecular model of TriBP1, a protein involved in nuclear import.

Further structural analysis will be performed in order to understand the biological properties and roles of TriBP1 and TriBP2.X-meeting 2007

Preliminary analysis of differentially expressed genes involved in meat tenderness in Angus and Nelore beef cattle.

ISCB-Latin America 2014. Pôster O10

Análise preliminar de um processo para identificação e alinhamento de seqüências homólogas para proteínas com estrutura resolvida.

O objetivo deste trabalho é apresentar e fazer uma avaliação preliminar de um processo alternativo, denominado Sequences Homologue to the Query (Structure-having) Sequence-SH2Q, para elaboração de alinhamentos múltiplos semelhantes à aqueles relatados no HSSP. O processo aqui apresentado baseia-se em programas de domínio público para busca em bases de dados de sequências -Blast (Altschul et al., 1990, 1997) e para alinhamento múltiplo de sequências -ClustalW (Thompson et al., 1994) O critério para avaliação do mesmo é o grau de similaridade entre as medidas de Entropia Relativa, quando comparadas com os mesmos valores relatados pelo HSSP.bitstream/CNPTIA/10041/1/comtec48.pdfAcesso em: 30 maio 2008

Detecção de erros de montagens em regiões gênicas.

Muitos genomas ainda apresentam erros de montagem. Tais erros são particularmente graves se ocorrerem em regiões gênicas, pois muitos trabalhos científicos se concentram exatamente nessas regiões por razões óbvias. Uma forma de tentar identificar erros de montagens em regiões gênicas é utilizar sequencias adquiras de forma independente, como, por exemplo bases de ESTs ou bases de Full length cDNA (FlcDNA). O foco deste trabalho é propor uma metodologia de Bioinformática que utiliza bibliotecas de FlcDNA para detectar tais erros

Wheat transcriptome analysis targeting leaf rust resistance-related genes.

ISCB-Latin America 2014. Pôster D03

Genética da resistência de planta adulta à ferrugem da folha em trigo - cultivar Toropi.

Orientadora: Sandra Patussi Brammer

Laboratório avançado multiusuário de bioinformática da Embrapa.

Apresentamos aqui a proposta de implementação de um Laboratório Multiusuário de Bioinformática, reunindo diversas unidades e competências da Embrapa

STING Report: convenient web-based application for graphic and tabular presentations of protein sequence, structure and function descriptors from the STING database

The Sting Report is a versatile web-based application for extraction and presentation of detailed information about any individual amino acid of a protein structure stored in the STING Database. The extracted information is presented as a series of GIF images and tables, containing the values of up to 125 sequence/structure/function descriptors/parameters. The GIF images are generated by the Gold STING modules. The HTML page resulting from the STING Report query can be printed and, most importantly, it can be composed and visualized on a computer platform with an elementary configuration. Using the STING Report, a user can generate a collection of customized reports for amino acids of specific interest. Such a collection comes as an ideal match for a demand for the rapid and detailed consultation and documentation of data about structure/function. The inclusion of information generated with STING Report in a research report or even a textbook, allows for the increased density of its contents. STING Report is freely accessible within the Gold STING Suite at http://www.cbi.cnptia.embrapa.br, http://www.es.embnet.org/SMS/, http://gibk26.bse.kyutech.ac.jp/SMS/ and http://trantor.bioc.columbia.edu/SMS (option: STING Report)

Olive phenology as a sensitive indicator of future climatic warming in the Mediterranean

Experimental and modelling work suggests a strong dependence of olive flowering date on spring temperatures. Since airborne pollen concentrations reflect the flowering phenology of olive populations within a radius of 50 km, they may be a sensitive regional indicator of climatic warming. We assessed this potential sensitivity with phenology models fitted to flowering dates inferred from maximum airborne pollen data. Of four models tested, a thermal time model gave the best fit for Montpellier, France, and was the most effective at the regional scale, providing reasonable predictions for 10 sites in the western Mediterranean. This model was forced with replicated future temperature simulations for the western Mediterranean from a coupled ocean-atmosphere general circulation model (GCM). The GCM temperatures rose by 4·5 °C between 1990 and 2099 with a 1% per year increase in greenhouse gases, and modelled flowering date advanced at a rate of 6·2 d per °C. The results indicated that this long-term regional trend in phenology might be statistically significant as early as 2030, but with marked spatial variation in magnitude, with the calculated flowering date between the 1990s and 2030s advancing by 3–23 d. Future monitoring of airborne olive pollen may therefore provide an early biological indicator of climatic warming in the Mediterranean