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Using only the SSR markers, we built a composite map covering 709 cM.
To investigate the phylogenetic coherence between neutral and adaptive markers, we built two phylogenetic trees of reptiles using i) mtDNA control region and ii) MHC class I α genes.
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Moreover, to investigate biological pathways affected by the predictive biomarker genes and to better select genes potentially usable as diagnostic marker, we built a functional pathway to search direct interactions.
To get a prognostic index we built marker panels at year 1 and 5 after the surgery using a weighted logistic regression that is appropriate for censored failure time (Zheng et al, 2006) with the stepwise selection.
On the basis of genotypes of 411 marker loci in 404 F2 progeny, we built a genetic map comprising 355 markers at an average spacing of 5.5 cM, 22 linkage groups (LGs) and 1965 cM.
To elucidate the developmental processes controlled by specific SWI/SNF subunits, we built molecular markers into the mesodermal RNAi strain.
In the single marker and haplotype analysis, we build the logistic regression model using genotype/haplotype as variable.
First, we modified the efficient and broadly used FDA algorithm and integrated forward variable selection and cross-validation procedures with FDA to select key predictive markers from enormous numbers of SNP and GE markers, and we then built accurate classification models for sample subdivision.
To assess the effectiveness and accuracy of each kind of marker we compared maps built with each marker type separately and with both types of marker combined.
Using a computationally intensive in silico approaches, we mined and catalog the 145 K STR markers and built the first whole genome based STR database, which is freely accessible to the public domain at http://webapp.cabgrid.res.in/sbmdb/.in/sbmdb/
To visualize the impact of resistance markers on the overall dataset, a second PCA excluding data from the targets encoding resistance markers was built (data not shown).
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