Dendrobium Swarz.(ラン科)の類縁に関する研究 : I. Eugenanthe Schlechter節内での交配親和性

1.ノビルタイプのデンドロビウム品種に.新しい遺伝子を導入する可能性を調べるため, Eugenanthe節内の22種と、D. moniliforme(セッコク), D. nobileとの交配を行なった.2.交配稔性からみて, 本節内にはD. moniliforme, D. nobileとは遠縁と思われる種が含まれていた.3.D. moniliformeは, D. nobileに比べ, 多くの種と交雑可能で, 今後の育種のために有用な種と考えられた.In order to check the possibility of introducing new genes into the modern nobile-type cultivars of Dendrobium, D. nobile Lindl. and D. moniliforme (L.) Swarz. were crossed with selected species of section Eugenanthe Schlechter. D. moniliforme showed a wider range of crossability with Eugenanthe species compared to D. nobile. Eugenanthe species were divided into two groups according to their crossability with D. moniliforme

MAID : An effect size based model for microarray data integration across laboratories and platforms-2

Ession (i.e ratios of gene expressions in HCV and normal tissue). Samples cluster according to each individual platform, indicating the presence of intra-study variability due to lab/platform effects (UT designates cDNA arrays/samples from University of Toronto, W-cDNA designates cDNA arrays/samples from University of Washington, and W-oligo designates oligo arrays/samples from University of Washington).<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-1

Ee experiments are measuring similar differences between conditions.<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-7

N-cDNA), 1b) R = 0.14 (Toronto-cDNA vs Washington-oligo), and 1c) R = 0.38 (Washington-oligo vs Washington-cDNA).<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-3

Ntile-Quantile plot of the observed (black curve) vs expected Q quantiles (red curve), the expected Q values are from the distribution, where l designates the number of experiments. The difference between the observed and the expected Q quantiles are large and show that a random effect model should be considered for data integration.<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-0

N-cDNA), 1b) R = 0.14 (Toronto-cDNA vs Washington-oligo), and 1c) R = 0.38 (Washington-oligo vs Washington-cDNA).<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-4

<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-11

<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-5

F false positives (()), figure 6b shows the same plot as figure 6a with the expected number of false positives () ≤ 21.<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p

MAID : An effect size based model for microarray data integration across laboratories and platforms-8

Ee experiments are measuring similar differences between conditions.<p><b>Copyright information:</b></p><p>Taken from "MAID : An effect size based model for microarray data integration across laboratories and platforms"</p><p>http://www.biomedcentral.com/1471-2105/9/305</p><p>BMC Bioinformatics 2008;9():305-305.</p><p>Published online 10 Jul 2008</p><p>PMCID:PMC2483727.</p><p></p