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A web-based bioinformatics interface applied to the GENOSOJA project: databases and pipelines Genet. Mol. Biol.
Nascimento,Leandro Costa do; Costa,Gustavo Gilson Lacerda; Binneck,Eliseu; Pereira,Gonçalo Amarante Guimarães; Carazzolle,Marcelo Falsarella.
The Genosoja consortium is an initiative to integrate different omics research approaches carried out in Brazil. Basically, the aim of the project is to improve the plant by identifying genes involved in responses against stresses that affect domestic production, like drought stress and Asian Rust fungal disease. To do so, the project generated several types of sequence data using different methodologies, most of them sequenced by next generation sequencers. The initial stage of the project is highly dependent on bioinformatics analysis, providing suitable tools and integrated databases. In this work, we describe the main features of the Genosoja web database, including the pipelines to analyze some kinds of data (ESTs, SuperSAGE, microRNAs, subtractive...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioinformatics; Database; Gene expression; Soybean; Genosoja.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200002
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Brazilian coffee genome project: an EST-based genomic resource Braz. J. Plant Physiol.
Vieira,Luiz Gonzaga Esteves; Andrade,Alan Carvalho; Colombo,Carlos Augusto; Moraes,Ana Heloneida de Araújo; Metha,Ângela; Oliveira,Angélica Carvalho de; Labate,Carlos Alberto; Marino,Celso Luis; Monteiro-Vitorello,Claúdia de Barros; Monte,Damares de Castro; Giglioti,Éder; Kimura,Edna Teruko; Romano,Eduardo; Kuramae,Eiko Eurya; Lemos,Eliana Gertrudes Macedo; Almeida,Elionor Rita Pereira de; Jorge,Érika C.; Albuquerque,Érika V. S.; Silva,Felipe Rodrigues da; Vinecky,Felipe; Sawazaki,Haiko Enok; Dorry,Hamza Fahmi A.; Carrer,Helaine; Abreu,Ilka Nacif; Batista,João A. N.; Teixeira,João Batista; Kitajima,João Paulo; Xavier,Karem Guimarães; Lima,Liziane Maria de; Camargo,Luis Eduardo Aranha de; Pereira,Luiz Filipe Protasio; Coutinho,Luiz Lehmann; Lemos,Manoel Victor Franco; Romano,Marcelo Ribeiro; Machado,Marcos Antonio; Costa,Marcos Mota do Carmo; Sá,Maria Fátima Grossi de; Goldman,Maria Helena S.; Ferro,Maria Inês T.; Tinoco,Maria Laine Penha; Oliveira,Mariana C.; Van Sluys,Marie-Anne; Shimizu,Milton Massao; Maluf,Mirian Perez; Eira,Mirian Therezinha Souza da; Guerreiro Filho,Oliveiro; Arruda,Paulo; Mazzafera,Paulo; Mariani,Pilar Drummond Sampaio Correa; Oliveira,Regina L.B.C. de; Harakava,Ricardo; Balbao,Silvia Filippi; Tsai,Siu Mui; Mauro,Sonia Marli Zingaretti di; Santos,Suzana Neiva; Siqueira,Walter José; Costa,Gustavo Gilson Lacerda; Formighieri,Eduardo Fernandes; Carazzolle,Marcelo Falsarella; Pereira,Gonçalo Amarante Guimarães.
Coffee is one of the most valuable agricultural commodities and ranks second on international trade exchanges. The genus Coffea belongs to the Rubiaceae family which includes other important plants. The genus contains about 100 species but commercial production is based only on two species, Coffea arabica and Coffea canephora that represent about 70 % and 30 % of the total coffee market, respectively. The Brazilian Coffee Genome Project was designed with the objective of making modern genomics resources available to the coffee scientific community, working on different aspects of the coffee production chain. We have single-pass sequenced a total of 214,964 randomly picked clones from 37 cDNA libraries of C. arabica, C. canephora and C. racemosa,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea; CDNA; EST; Transcriptome.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-04202006000100008
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