Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Jirapa Phetsom"'
1
Akademický článek
Refinement of light-responsive transcript lists using rice oligonucleotide arrays: evaluation of gene-redundancy.
Autor: Ki-Hong Jung, Christopher Dardick, Laura E Bartley, Peijian Cao, Jirapa Phetsom, Patrick Canlas, Young-Su Seo, Michael Shultz, Shu Ouyang, Qiaoping Yuan, Bryan C Frank, Eugene Ly, Li Zheng, Yi Jia, An-Ping Hsia, Kyungsook An, Hui-Hsien Chou, David Rocke, Geun Cheol Lee, Patrick S Schnable, Gynheung An, C Robin Buell, Pamela C Ronald
Publikováno v: PLoS ONE, Vol 3, Iss 10, p e3337 (2008)
Studies of gene function are often hampered by gene-redundancy, especially in organisms with large genomes such as rice (Oryza sativa). We present an approach for using transcriptomics data to focus functional studies and address redundancy. To this
Externí odkaz: https://doaj.org/article/e53061448c234fbdac934944914256ac
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2
Akademický článek
Identification and functional analysis of light-responsive unique genes and gene family members in rice.
Autor: Ki-Hong Jung, Jinwon Lee, Chris Dardick, Young-Su Seo, Peijian Cao, Patrick Canlas, Jirapa Phetsom, Xia Xu, Shu Ouyang, Kyungsook An, Yun-Ja Cho, Geun-Cheol Lee, Yoosook Lee, Gynheung An, Pamela C Ronald
Publikováno v: PLoS Genetics, Vol 4, Iss 8, p e1000164 (2008)
Functional redundancy limits detailed analysis of genes in many organisms. Here, we report a method to efficiently overcome this obstacle by combining gene expression data with analysis of gene-indexed mutants. Using a rice NSF45K oligo-microarray to
Externí odkaz: https://doaj.org/article/4433135f152b4feabe0fa81b058610d5
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5
Comparative evaluation of DNA extraction from rice’s root-associated bacterial consortium for population structure study
Autor: Wasinee Pongprayoon, S.T Anne Sahithi, Nichapat Kittiborwornkul, Jirapa Phetsom, Theerawut Phusantisampan, Malinee Sriariyanun
Publikováno v: E3S Web of Conferences, Vol 302, p 02014 (2021)
Understanding in population structure of a plant’s root-associated microbiome is applied in good practices in agricultural activities to improve production yields and enhance plant immune responses. The molecular analysis of bacterial populations i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ab404251586960e7f9e8a02e6d853b
https://doi.org/10.1051/e3sconf/202130202014
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7
Refinement of Light-Responsive Transcript Lists Using Rice Oligonucleotide Arrays: Evaluation of Gene-Redundancy
Autor: Patrick E. Canlas, Hui-Hsien Chou, Chris Dardick, Michael A. Shultz, Geun Cheol Lee, Young Su Seo, Eugene Ly, Jirapa Phetsom, Peijian Cao, Yi Jia, Bryan C. Frank, Qiaoping Yuan, Patrick S. Schnable, Li Zheng, Laura E. Bartley, Pamela C. Ronald, David M. Rocke, Kyungsook An, Shu Ouyang, An-Ping Hsia, Gynheung An, Ki-Hong Jung, C. Robin Buell
Publikováno v: PLoS ONE
PLoS ONE, Vol 3, Iss 10, p e3337 (2008)
Jung, Ki-Hong; Dardick, Christopher; Bartley, Laura E; Cao, Peijian; Phetsom, Jirapa; Canlas, Patrick; et al.(2008). Refinement of light-responsive transcript lists using rice oligonucleotide arrays: evaluation of gene-redundancy.. PloS one, 3(10), e3337-e33e3337. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/9z16z49z
Studies of gene function are often hampered by gene-redundancy, especially in organisms with large genomes such as rice (Oryza sativa). We present an approach for using transcriptomics data to focus functional studies and address redundancy. To this
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c91456769754d8fe01978e3ab06862
http://europepmc.org/articles/PMC2556097
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8
Identification and functional analysis of light-responsive unique genes and gene family members in rice
Autor: Pamela C. Ronald, Chris Dardick, Ki-Hong Jung, Gynheung An, Yoosook Lee, Xia Xu, Jinwon Lee, Jirapa Phetsom, Geun Cheol Lee, Young Su Seo, Shu Ouyang, Yun Ja Cho, Kyungsook An, Peijian Cao, Patrick E. Canlas
Publikováno v: PLoS Genetics, Vol 4, Iss 8, p e1000164 (2008)
Jung, Ki-Hong; Lee, Jinwon; Dardick, Chris; Seo, Young-Su; Cao, Peijian; Canlas, Patrick; et al.(2008). Identification and functional analysis of light-responsive unique genes and gene family members in rice.. PLoS genetics, 4(8), e1000164-e10001e1000164. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/3bz3t85d
PLoS Genetics
Functional redundancy limits detailed analysis of genes in many organisms. Here, we report a method to efficiently overcome this obstacle by combining gene expression data with analysis of gene-indexed mutants. Using a rice NSF45K oligo-microarray to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013cd284b3d8a347571ea3db7774ae8b
http://europepmc.org/articles/PMC2515340?pdf=render
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9
Assessing probe-specific dye and slide biases in two-color microarray data
Autor: Jirapa Phetsom, Patrick S. Schnable, Chris Dardick, Yi Jia, Zelanna Goldberg, Geun-Cheol Lee, Pamela C. Ronald, David M. Rocke, Ruixiao Lu, Michael A. Shultz, Robert H. Rice, Ki-Hong Jung
Publikováno v: Lu, Ruixiao; Lee, Geun-Cheol; Shultz, Michael; Dardick, Chris; Jung, Kihong; Phetsom, Jirapa; et al.(2008). Assessing probe-specific dye and slide biases in two-color microarray data.. BMC bioinformatics, 9, 314-3314. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/2kh6d3jb
BMC Bioinformatics, Vol 9, Iss 1, p 314 (2008)
BMC Bioinformatics
Background A primary reason for using two-color microarrays is that the use of two samples labeled with different dyes on the same slide, that bind to probes on the same spot, is supposed to adjust for many factors that introduce noise and errors int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec764b99a1fbb5f88987f08bb8fe37a
http://www.escholarship.org/uc/item/2kh6d3jb
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10
A two-genome microarray for the rice pathogens Xanthomonas oryzae pv. oryzae and X. oryzae pv. oryzicola and its use in the discovery of a difference in their regulation of hrp genes
Autor: Hui-Hsien Chou, Jirapa Phetsom, Ye Lin, Pamela C. Ronald, Young-Su Seo, Ki-Hong Jung, Adam J. Bogdanove, Malinee Sriariyanun, Janice Pfeiff, Li Wang
Publikováno v: Seo, Young-Su; Sriariyanun, Malinee; Wang, Li; Pfeiff, Janice; Phetsom, Jirapa; Lin, Ye; et al.(2008). A two-genome microarray for the rice pathogens Xanthomonas oryzae pv. oryzae and X. oryzae pv. oryzicola and its use in the discovery of a difference in their regulation of hrp genes.. BMC microbiology, 8, 99-999. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/2m2496v0
BMC Microbiology
BMC Microbiology, Vol 8, Iss 1, p 99 (2008)
Background Xanthomonas oryzae pv. oryzae (Xoo) and X. oryzae pv. oryzicola (Xoc) are bacterial pathogens of the worldwide staple and grass model, rice. Xoo and Xoc are closely related but Xoo invades rice vascular tissue to cause bacterial leaf bligh
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::188207f6d333d6dcd2925674e61a9657
https://doi.org/10.1186/1471-2180-8-99
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