Resultados de búsqueda - "data mining"

  1. Outcomes harvesting, Digital Agriculture Project por Camacho, Kemly

    Publicado 2021
    Materias: “…data mining…”
    Enlace del recurso
    Informe técnico
  2. Identification of rye B chromosome-associated peptides by mass spectrometry por Ma, Wei, Liu, Zhao Jun, Sebastian, Beier, Houben, Andreas, Carpentier, Sebastien C.

    Publicado 2021
    “…We found 319 of 16 776 quantified features in at least three out of five +B plants but not in 0B plants; 31 of 319 features were identified as B‐associated peptide features. According to our data mining, one B‐specific protein fragment showed similarity to a glycine‐rich RNA binding protein which differed from its A‐paralogue by two amino acid insertions. …”
    Enlace del recurso
    Journal Article
  3. Unlocking the Hidden Genetic Diversity of Varicosaviruses, the Neglected Plant Rhabdoviruses por Bejerman, Nicolas Esteban, Dietzgen, Ralf Georg, Debat, Humberto Julio

    Publicado 2022
    “…Thus, the extensive use of sequence data mining for virus discovery has allowed us to unlock of the hidden genetic diversity of varicosaviruses, the largely neglected plant rhabdoviruses.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Artículo
  4. Draft genome sequences of Enterococcus faecium, Enterococcus gallinarum, and Lactococcus lactis strains isolated from a mastitis-infected camel in Isiolo County, Kenya por Maichomo, M., Gachogo, R., Masila, E., Ogali, I., Otieno, L., Langat, N., Onywera, R., Malonza, V., Inguyesi, C., Onyambu, F., Gicheru, Nimmo, Wesonga, H., Murungi, E.

    Publicado 2023
    “…Collectively, these data provide an invaluable repository for data mining to support the development of a potential multicomponent mastitis subunit vaccine.…”
    Enlace del recurso
    Journal Article
  5. Progress in developing a potato ontology for breeders. por Simon, R., Hualla, V., Salas, E., Gómez, R., Córdova, R., Haan, Stef de, Bonierbale, Merideth W.

    Publicado 2014
    “…This will allow the application of numerical or data mining techniques that may help to uncover previously unknown correlations. …”
    Enlace del recurso
    Póster
  6. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research por Conesa, Ana, Gotz, Stefan, García-Gómez, Juan M., Terol, Javier, Talón, Manuel, Robles, Montserrat

    Publicado 2017
    “…We present here Blast2GO (B2G), a research tool designed with the main purpose of enabling Gene Ontology (GO) based data mining on sequence data for which no GO annotation is yet available. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  7. Information resources for cassava research and breeding por Ayling, S., Ferguson, Morag E., Rounsley, S., Kulakow, Peter A.

    Publicado 2012
    “…To facilitate the work of these groups, easy access to up-to-date and integrated information resources are essential to enable knowledge sharing and data mining. Here we review the information resources currently available to breeders and researchers and discuss future directions for the cassava community’s data integration and curation.…”
    Enlace del recurso
    Journal Article
  8. Using small RNA-seq data to detect siRNA duplexes induced by plant viruses por Niu, X., Sun, Y., Chen, Z., Li, R., Padmanabhan, C., Ruan, J., Kreuze, Jan F., Ling, K.S., Fei, Z.J., Gao, S.

    Publicado 2017
    “…In addition, we used the detected 21 nucleotide (nt) siRNA duplexes with 2 nt overhangs to construct a dataset for future data mining. The analytical results of the features in the detected siRNA duplexes were consistent with those from previous studies. …”
    Enlace del recurso
    Journal Article
  9. Rwanda: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Warner, James, Jones, Eleanor, Thurlow, James

    Publicado 2024
    “…The Rwandan Computable General Equilibrium (CGE) model was employed to simulate a range of potential economic outcomes under various sampled shock scenarios developed using historical data to capture domestic agricultural yield volatilities and world market prices uncertainty for traded goods. Data mining and machine learning methods were applied to quantify the contribution of each shock to the uncertainty of economic outcomes (gross domestic product [GDP], private consumption, poverty, and undernourishment). …”
    Enlace del recurso
    Brief

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