Items where Subject is "31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310207 Statistical and quantitative genetics"
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- Fields of Research (61696)
- 31 BIOLOGICAL SCIENCES (4906)
- 3102 Bioinformatics and computational biology (183)
- 310207 Statistical and quantitative genetics (5)
- 3102 Bioinformatics and computational biology (183)
- 31 BIOLOGICAL SCIENCES (4906)
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Davidson, Mikaeylah J., Zenger, Kyall R., Keogh, J. Scott, Berger, Lee, Skerratt, Lee F., and Kosch, Tiffany A. (2026) Design and Application of a Genome-Wide SNP Array to Improve Conservation Outcomes in the Critically Endangered Southern Corroboree Frog. Molecular Ecology Resources, 26 (3). e70080.
H
Havula, E., Ghazanfar, S., Lamichane, N., Francis, D., Hasygar, K., Liu, Y., Alton, L.A., Johnstone, J., Needham, E.J., Pulpitel, T., Clark, T., Niranjan, H.N., Shang, V., Tong, V., Jiwnani, N., Audia, G., Alves, A.N., Sylow, L., Mirth, C., Neely, G.G., Yang, J., Hietakangas, V., Simpson, S.J., and Senior, A.M. (2022) Genetic variation of macronutrient tolerance in Drosophila melanogaster. Nature Communications, 13. 1637.
J
Juhel, Jean-baptiste, Marques, Virginie, Utama, Rizkie Satriya, Vimono, Indra Bayu, Sugeha, Hagi Yulia, Kadarusman, Kadarusman, Cochet, Christophe, Dejean, Tony, Hoey, Andrew, Mouillot, David, Hocde, Regis, and Pouyaud, Laurent (2022) Estimating the extended and hidden species diversity from environmental DNA in hyper-diverse regions. Ecography, 2022 (10). e06299.
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Maroso, F., Hillen, J.E.J., Pardo, B.G., Gkagkavouzis, K., Coscia, I., Hermida, M., Franch, R., Hellemans, B., Van Houdt, J., Simionati, B., Taggart, J.B., Nielsen, E.E., Maes, G.E., Ciavaglia, S.A., Webster, L.M., Volckaert, F.A.M., Martínez, P., Bargelloni, Luca, Ogden, R., and AquaTrace Consortium (2018) Performance and precision of double digestion RAD (ddRAD) genotyping in large multiplexed datasets of marine fish species. Marine Genomics, 39. pp. 64-72.
R
Rincent, R., Malosetti, M., Ababaei, B., Touzy, G., Mini, A., Bogard, M., Martre, P., Le Gouis, J., and van Eeuwijk, F. (2019) Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions. Theoretical and Applied Genetics, 132. pp. 3399-3411.
