This study reports the first proteome analysis to identify resistance-associated protein such as low molecular weight heat shock protein, Oso7g0179400, PII protein, CDK1, Oxalate oxidase, SAP domain-containing protein, RIO kinase, L-ascorbate peroxidase, iso-Ara h3, 50 S ribosomal protein, 30 S ribosomal, which may be associated with resistance to pre-harvest aflatoxin contamination in peanut.
We previously performed a large-scale analysis of SNPs in 251 Japanese postmenopausal women using the Affymetrix GeneChip Human Mapping 50K Hind array (first-stage analysis) and in 499 Japanese postmenopausal women (second-stage analysis) to identify common genetic variants associated with BMD (Urano et al., 2010, 2012).
Here, we identify a "Human Impact Gradient for Biodiversity (HIGB)" based on a three-table ordination method (RLQ analysis) and fourth-corner analysis to identify key species traits that are associated with environmental gradient.
This logo reflects all of the information contained within the individual peaks, yet permits a second order analysis to identify motifs shared between these representative logos, thus, across promoter subfamilies, without any one promoter subfamily being weighted more heavily (e.g., because of its size).
We first used descriptive analysis to identify those in poor and good health.
We first used microarray analysis to identify particular miRNAs that were differentially expressed in pools of samples derived from each participant group.
A thresholding strategy is then employed to allow for improved delineation of keratocyte cells by suppressing similarly shaped features in the data, followed by a second-order moment analysis to identify potential cell nuclei candidates.
We first use independent component analysis to identify the characteristics of the main pumping types from hourly groundwater head observations.
We first performed a univariate analysis to identify patient characteristics at ICU admission that were associated with a good neurological outcome.
