Ethalinda Cannon
Corn Insects and Crop Genetics Research
Biologist (Computational/Bioinformatics)
Phone: (515) 294-5558
Fax:
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Publications
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Genomes, comparative genomics and pan-genomics tools and resources at the maize genetics and genomics database (MaizeGDB)
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Woodhouse, M.R., Portwood Ii, J.L., Sen, S., Hayford, R.K., Gardiner, J.M., Cannon, E.K., Haley, O., Andorf, C.M. 2024. Genomes, comparative genomics and pan-genomics tools and resources at the maize genetics and genomics database (MaizeGDB). Cold Spring Harbor Protocols. https://doi.org/10.1101/pdb.over108430.
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Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress
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Hayford, R.K., Haley, O., Cannon, E.K., Portwood Ii, J.L., Gardiner, J.M., Andorf, C.M., Woodhouse, M.H. 2024. Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress. BMC Genomics. https://doi.org/10.1186/s12864-024-10443-7.
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PanEffect: a pan-genome visualization tool for variant effects in maize
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Andorf, C.M., Haley, O., Hayford, R.K., Portwood II, J.L., Harding, S.F., Sen, S., Cannon, E.K., Gardiner, J.M., Kim, H., Woodhouse, M.R. 2024. PanEffect: a pan-genome visualization tool for variant effects in maize. Bioinformatics. 40(2). Article btae073. https://doi.org/10.1093/bioinformatics/btae073.
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Enhanced pan-genomic resources at the maize genetics and genomics database
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Cannon, E.K., Portwood II, J.L., Hayford, R.K., Hayley, O.C., Gardiner, J.M., Andorf, C.M., Woodhouse, M.R. 2024. Enhanced pan-genomic resources at the maize genetics and genomics database. Genetics. 227(1). https://doi.org/10.1093/genetics/iyae036.
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PanEffect: A pan-genome visualization tool for variant effects in maize
- (Pre-print Publication)
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Andorf, C.M., Haley, O., Hayford, R., Portwood Ii, J.L., Sen, S., Cannon, E.K., Gardiner, J.M., Woodhouse, M.H. 2023. PanEffect: A pan-genome visualization tool for variant effects in maize. bioRxiv. Article 09.25.559155. https://doi.org/10.1101/2023.09.25.559155.
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Pan-genome data at MaizeGDB
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Cannon, E.K., Portwood II, J.L., Hayford, R., Gardiner, J., Woodhouse, M.H., Andorf, C.M. 2023. Pan-genome data at MaizeGDB. Maize Annual Meetings. 66.
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MaizeGDB: Maize protein structure resources
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Andorf, C.M., Portwood II, J.L., Sen, S., Hayford, R., Cannon, E.K., Gardiner, J., Woodhouse, M.H. 2023. MaizeGDB: Maize protein structure resources. Maize Annual Meetings. 65.
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Stress response functional annotation using RNA expression in maize
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Hayford, R., Woodhouse, M.H., Portwood II, J.L., Sen, S., Gardiner, J., Cannon, E.K., Andorf, C.M. 2023. Stress response functional annotation using RNA expression in maize. Maize Annual Meetings. 68.
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Maize protein structure resources at the maize genetics and genomics database
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Woodhouse, M.H., Portwood II, J.L., Sen, S., Hayford, R.K., Gardiner, J.M., Cannon, E.K., Harper, L.C., Andorf, C.M. 2023. Maize protein structure resources at the maize genetics and genomics database. Genetics. 224(1).Article iyad016. https://doi.org/10.1093/genetics/iyad016.
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Guidelines for standardizing gene model nomenclature and genome assembly quality metrics
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FASSO: An AlphaFold based method to assign functional annotations by combining sequence and structure orthology
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Andorf, C.M., Sen, S., Hayford, R.K., Portwood II, J.L., Cannon, E.K., Harper, L.C., Gardiner, J.M., Sen, T.Z., Woodhouse, M.H. 2022. FASSO: An AlphaFold based method to assign functional annotations by combining sequence and structure orthology. bioRxiv. https://doi.org/10.1101/2022.11.10.516002.
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Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in peanut (Arachis hypogaea L.)
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Otyama, P.I., Chamberlin, K., Ozias-Akins, P., Graham, M.A., Cannon, E.K.S., Cannon, S.B., MacDonald, G.E., Anglin, N.L. 2022. Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in peanut (Arachis hypogaea L.). Genes, Genomes, Genetics. 12(1). Article jkab382. https://doi.org/10.1093/g3journal/jkab382.
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A pan-genomic approach to genome databases using maize as a model system
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Woodhouse, M.H., Cannon, E.K., Portwood II, J.L., Harper, E.C., Gardiner, J.M., Schaeffer, M.L., Andorf, C.M. 2021. A pan-genomic approach to genome databases using maize as a model system. Biomed Central (BMC) Plant Biology. 21. Article 385. https://doi.org/10.1186/s12870-021-03173-5.
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De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes
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Hufford, M.B., Seetharam, A.S., Woodhouse, M.H., Chougle, K.M., Ou, S., Liu, J., Ricci, W.A., Guo, T., Olson, A., Qiu, Y., Portwood II, J.L., Cannon, E.K., Andorf, C.M., Ware, D., Dawe, K.R. et al. 2021. De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes. Science. 373(6555):655-662. https://doi.org/10.1126/science.abg5289.
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Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in peanut (Arachis hypogaea L.)
- (Pre-print Publication)
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Otyama, P.I., Chamberlin, K., Ozias-Akins, P., Graham, M.A., Cannon, E.K.S., Cannon, S.B., MacDonald, G.E., Anglin, N.L. 2021. Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in Arachis hypogaea. bioRxiv. https://doi.org/10.1101/2021.06.03.446924.
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Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases
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Staton, M., Cannon, E.K., Sanderson, L., Wegrzyn, J., Buehler, S., Ficklin, S., Grau, E., Guignon, V., Gunoskey, J., Jung, S., Main, D., Poelchau, M.F., Ramnath, R., Cobo, I., Richter, P., West, J., Anderson, T.K., Inderski, B., Faaberg, K.S., Lager, K.M. 2021. Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases. Briefings in Bioinformatics. 22(6). https://doi.org/10.1093/bib/bbab238.
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The NAM genome assemblies and 2021 release of their official annotations at MaizeGDB
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Cannon, E.K., Woodhouse, M.H., Andorf, C.M., Gardiner, J., Harper, E.C., Portwood Ii, J.L., Schaeffer, M.L. 2021. The NAM genome assemblies and 2021 release of their official annotations at MaizeGDB. Maize Annual Meetings. 76.
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History of the maize genome sequence assemblies
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Harper, E.C., Gardiner, J.M., Schaeffer, M.L., Cannon, E.K., Portwood Ii, J.L., Woodhouse, M.H., Andorf, C.M. 2021. History of the maize genome sequence assemblies. Maize Annual Meetings. 59.
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De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes
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Hufford, M.B., Seetharam, A.S., Woodhouse, M.H., Chougie, K.M., Ou, S., Liu, J., Ricci, W.A., Guo, T., Olson, A., Qiu, Y., Portwood Ii, J.L., Cannon, E.K., Andorf, C.M., Ware, D., Dawe, K.R., et all. 2021. De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes. bioRxiv. https://doi.org/10.1101/2021.01.14.426684.
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GCViT: a method for interactive, genome-wide visualization of resequencing and SNP array data
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Wilkey, A., Brown, A.V., Cannon, S.B., Cannon, E.K. 2020. GCViT: a method for interactive, genome-wide visualization of resequencing and SNP array data. Biomed Central (BMC) Genomics. 21. Article 822. https://doi.org/10.1186/s12864-020-07217-2.
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MaizeMine: A data mining warehouse for the maize genetics and genomics database (MaizeGDB)
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Shamimuzzaman, M., Gardiner, J.M., Walsh, A.T., Triant, D.A., Le Tourneau, J.J., Tayal, A., Unni, D.R., Nguyen, H.H., Portwood Ii, J.L., Cannon, E.K., Andorf, C.M., Elsik, C.G. 2020. MaizeMine: A data mining warehouse for the maize genetics and genomics database (MaizeGDB). Frontiers in Plant Science. 11. Article 592730. https://doi.org/10.3389/fpls.2020.592730.
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Genotypic characterization of the U.S. peanut core collection
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Otyama, P.I., Kulkarni, R., Chamberlin, K., Ozias-Akins, P., Chu, Y., Lincoln, L.M., MacDonald, G.E., Anglin, N.L., Dash, S., Bertioli, D.J., Fernandez-Baca, D., Graham, M.A., Cannon, S.B., Cannon, E.K.S. 2020. Genotypic characterization of the U.S. peanut core collection. G3, Genes/Genomes/Genetics. 10(11):4013-4026. https://doi.org/10.1534/g3.120.401306.
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Genotypic characterization of the U.S. peanut core collection
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Otyama, P.I., Kulkarni, R., Chamberlin, K.D., Ozias-Akins, P., Chu, Y., Lincoln, L.M., Macdonald, G.E., Anglin, N.L., Dash, S., Bertoli, D., Fernandez-Baca, D., Graham, M.A., Cannon, S.B., Cannon, E.K. 2020. Genotypic characterization of the U.S. peanut core collection [abstract]. In proceedings: American Peanut Research and Education Society, July 2020. Available: https://apresinc.com/wp-content/uploads/2020/06/OtyamaPI-Abstract-2020.pdf.
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MaizeGDB 2018: The maize multi-genome genetics and genomics database
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Portwood II, J.L., Woodhouse, M.R., Cannon, E.K., Gardiner, J., Harper, E.C., Schaeffer, M.L., Walsh, J., Sen, T.Z., Cho, K., Braun, B.L., Dietze, M., Dunfee, B., Elsik, C.G., Manchanda, N., Coe, E., Sachs, M.M., Stinard, P.S., Tolbert, J.P., Zimmerman, S.A., Andorf, C.M. 2018. MaizeGDB 2018: The maize multi-genome genetics and genomics database. Nucleic Acids Research. 47(D1):D1146-D1154. https://doi.org/10.1093/nar/gky1046.
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MaizeGDB: How phenotype curation has co-evolved with genomic representations
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Harper, E.C., Gardiner, J., Portwood Ii, J.L., Cho, K., Woodhouse, M.R., Cannon, E.K., Lawrence-Dill, C., Freidberg, I., Andorf, C.M. 2018. MaizeGDB: How phenotype curation has co-evolved with genomic representations. Meeting Abstract. https://www.ars.usda.gov/research/publications/publication/?seqNo115=355949.
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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
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Harper, E.C., Campbell, J., Cannon, E.K., Jung, S., Main, D., Poelchau, M.F., Walls, R.L., Andorf, C.M., Arnaud, E., Berardini, T.Z., Birkett, C.L., Cannon, S.B., Carson, J., Condon, B., Cooper, L., Dunn, N., Elsik, C., Farmer, A., Ficklin, S., Grant, D.M., Grau, E., Hendon, N., Hu, Z., Humann, J., Jaiswal, P., Jonquet, C., Laporte, M., Larmande, P., Lazo, G.R., McCarthy, F., Menda, N., Mungall, C., Munoz-Torres, M., Naithani, S., Nelson, R., Nesdill, D., Park, C., Reecy, J., Reiser, L., Sanderson, L., Sen, T.Z., Staton, M., Subramaniam, S., Karey, T., Unda, V., Unni, D., Wang, L., Ware, D., Wegrzyn, J., Williams, J., Woodhouse, M. 2018. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database: The Journal of Biological Databases and Curation. 2018(1):1-32. https://doi.org/10.1093/database/bay088.
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The maize W22 genome provides a foundation for functional genomics and transposon biology
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Springer, N., Anderson, S., Andorf, C.M., Ahern, K., Bai, F., Barad, O., Barbazuk, W., Bass, H.W., Baruch, K., Gen-Zvi, G., Buckler IV, E.S., Bukowski, R., Campbell, M.S., Cannon, E.K., Chomet, P., Dawe, R., Davenport, R., Dooner, H.K., He Du, L., Du, C., Easterling, K., Gault, C., Guan, J., Jander, G., Hunter III, C.T., Jiao, Y., Koch, K.E., Kol, G., Kudo, T., Li, Q., Lu, F., Mayfield-Jones, D., Mei, W., McCarty, D.R., Noshay, J., Portwood II, J.L., Ronen, G., Settles, M.A., Shem-Tov, D., Shi, J., Soifer, I., Stein, J.C., Suzuki, M., Vera, D.L., Vollbrecht, E., Vrebalov, J.T., Ware, D., Wei, X., Wimalanathan, K., Woodhouse, M.R., Xiong, W., Brutnell, T.P. 2018. The maize W22 genome provides a foundation for functional genomics and transposon biology. Nature Genetics. 50:1282-1288. https://doi.org/10.1038/s41588-018-0158-0.
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Surveying the maize community for their diversity and pedigree visualization needs to prioritize tool development and curation
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Sen, T.Z., Braun, B., Schott, D., Portwood II, J.L., Schaeffer, M.L., Harper, E.C., Cannon, E.K., Andorf, C.M. 2017. Surveying the maize community for their diversity and pedigree visualization needs to prioritize tool development and curation. Database: The Journal of Biological Databases and Curation. doi: 10.1093/database/bax031.
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