Search Results - "Genomics"

  1. Genome-wide association study uncovers genomic regions associated with grain iron, zinc and protein content in pearl millet by Pujar, Mahesh, Gangaprasad, S., Govindaraj, Mahalingam, Gangurde, Sunil S., Kanatti, A., Kudapa, Himabindu

    Published 2020
    “…The SNPs/genes identified in the present study presents prospects for genomics assisted biofortification breeding in pearl millet.…”
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    Journal Article
  2. Draft genome assembly and bioinformatic analysis of a denovo sequenced genome of Treponema phagedenis like strain V1 by Mushtaq, Mamoona

    Published 2012
    “…In this study, a draft genome assembly of Treponema phagedenis-like strain V1 was obtained using Mira3 assembler. …”
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    Second cycle, A2E
  3. EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture by Costa-Neto, Germano, Galli, Giovanni, Carvalho, Humberto Fanelli, Crossa, José, Fritsche-Neto, Roberto

    Published 2021
    “…Here, we introduce the EnvRtype R package, a novel toolkit developed to interplay large-scale envirotyping data (enviromics) into quantitative genomics. To start a user-friendly envirotyping pipeline, this package offers: (1) remote sensing tools for collecting (get_weather and extract_GIS functions) and processing ecophysiological variables (processWTH function) from raw environmental data at single locations or worldwide; (2) environmental characterization by typing environments and profiling descriptors of environmental quality (env_typing function), in addition to gathering environmental covariables as quantitative descriptors for predictive purposes (W_matrix function); and (3) identification of environmental similarity that can be used as an enviromic-based kernel (env_typing function) in whole-genome prediction (GP), aimed at increasing ecophysiological knowledge in genomic best-unbiased predictions (GBLUP) and emulating reaction norm effects (get_kernel and kernel_model functions). …”
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    Journal Article
  4. Sequencing of Culex quinquefasciatus establishes a platform for mosquito comparative genomics by Arensburger, P., Megy, K., Waterhouse, Robert M., Abrudan, J., Amedeo, P., Antelo, B., Bartholomay, L., Bidwell, S., Caler, E., Camara, F., Campbell, C.L., Campbell, K.S., Casola, C., Castro, M.T., Chandramouliswaran, I., Chapman, S.B., Christley, S., Costas, J., Eisenstadt, E., Feschotte, C., Fraser-Liggett, C.M., Guigo, R., Haas, B., Hammond, M., Hansson, B.S., Hemingway, J., Hill, S.R., Howarth, C., Ignell, R., Kennedy, R.C., Kodira, C.D., Lobo, N.F., Mao, C., Mayhew, G., Michel, K., Mori, A., Liu, N., Naveira, H., Nene, Vishvanath M.

    Published 2010
    “…Here, we describe the genomic sequence of C. quinquefasciatus: Its repertoire of 18,883 protein-coding genes is 22% larger than that of Aedes aegypti and 52% larger than that of Anopheles gambiae with multiple gene-family expansions, including olfactory and gustatory receptors, salivary gland genes, and genes associated with xenobiotic detoxification.…”
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    Journal Article
  5. Global agricultural intensification during climate change: a role for genomics by Abberton, Michael T., Batley, J., Bentley, A., Bryant, J., Cai, H., Cockram, J., Costa de Oliveira, A., Cseke, L.J., Dempewolf, Hannes, Pace, C. de, Edwards, D., Gepts, Paul L., Greenland, A., Hall, A.E., Henry, R., Hori, K., Howe, G.T., Hughes, S., Humphreys, M.W., Lightfoot, D., Marshall, A., Mayes, S., Nguyen, H.T., Ogbonnaya, F.C., Ortíz, R., Paterson, A.H, Tuberosa, R., Valliyodan, B., Varshney, Rajeev K., Yano, M.

    Published 2016
    “…Here we review the state of the art of genomic‐assisted breeding for the most important staples that feed the world, and how to use and adapt such genomic tools to accelerate development of both major and minor crops with desired traits that enhance adaptation to, or mitigate the effects of climate change.…”
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    Journal Article
  6. The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics by Cooper, Laurel D., Meier, A., Laporte, Marie-Angélique, Elser, J.L., Mungall, C., Sinn, B.T., Cavaliere, D., Carbon, S., Dunn, N.A., Smith, B., Qu, B., Preece, J., Zhang, E., Todorovic, S., Gkouto, G., Doonan, J.H., Stevenson, D.W., Arnaud, Elizabeth, Jaiswal, P.

    Published 2018
    “…Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. …”
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    Journal Article

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