Search Results for "generate"

Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...

This application system is based on Eclipse RCP, and it uses the JFreeChart and JOGL library to implement the chart drawing and OpenGL. There are some scripts to generate similarity data for main application and to analysis result. It is an useful tool to visualize relative similarity relationship between different datasets.

Pop-seq is a perl based simulation tool, for generating any kind of mapping population using an user defined recombination landscapes. Combined with the Seq-sim tool you can generate pooled or bar-coded next generation sequencing biased outcomes. This tool were used to solve reappearing question in a experimental design (e. g. of how many plants or sequencing depth is advisable in a back crossed or out crossed scenario )

..., especially for genome-wide association study (GWAS). To improve the calculation speed without changing the size of the TradPerm p-value, we developed a Monte Carlo permutation (MCPerm) method as an efficient alternative to TradPerm. Methods: MCPerm does not need to shuffle the original genotypes and phenotypes data. It uses Monte Carlo method, employs two-step hypergeometric distribution to generate the random number of genotypes (AA, Aa and aa) in cases and controls.

YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.

We use R (www.r-project.org) in order to generate a greater specificity and sensitivity of protein identification by Mass Spectrometry. These functions are implemented as add-on packages to the open source GPL software R.