Search Results for "parallel desktop"

PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels...

This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A...

Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. ...

Parallel Iterative Deconvolution is a multithreaded ImageJ plugin for iterative image deblurring.

Parallel Spectral Deconvolution is a multithreaded ImageJ plugin for spectral image deblurring.

Parallel HRRT Deconvolution is a multithreaded ImageJ plugin for motion correction of PET brain images.

Simple console program intended for factor or principal components analysis. It calculates the optimal number of factors using the Horn's parallel analysis, computes the Kaiser-Meyer-Olkin and a few other measures of sampling adequacy.

Parallel IBDWS is an upgrade from IBDWS that utilizes parallel processing. Also, the incorporation of DNA sequence data has been added since the last code release