SUPPLEMENTARY INFORMATION GPU-powered model analysis with PySB/cupSODA

GPU-powered model analysis with PySB/cupSODA

Summary A major barrier to the practical utilization of large, complex models of biochemical systems is the lack of open-source computational tools to evaluate model behaviors over high-dimensional parameter spaces. This is due to the high computational expense of performing thousands to millions of model simulations required for statistical analysis. To address this need, we have implemented a...

cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics

SMLocalizer, a GPU accelerated ImageJ plugin for single molecule localization microscopy

Summary SMLocalizer combines the availability of ImageJ with the power of GPU processing for fast and accurate analysis of single molecule localization microscopy data. Analysis of 2D and 3D data in multiple channels is supported. Availability and implementation Plugin freely available for Fiji and ImageJ2.0 through https://sourceforge.net/projects/smlocalizer/. Plugin also available for cont...

Supplementary File 1 Additional GPU-powered Tools for Bioinformatics and Computational Biology

A field of Computational Biology where GPU acceleration can yield a relevant speed-up is related to the analysis of spectral data derived from, e.g., mass-spectrometry experiments. FastPaSS [4] is a tool that accelerates the identification of a spectrum in a spectral library by means of the SpectraST similarity scoring algorithm [14]. The core of the matching algorithm is represented by a dot p...

Designing a Supplementary Health Insurance Model for Iran

Designing a Supplementary Health Insurance Model for Iran Ali Vafaee Najar 1, Elaheh Hooshmand 1, * 1Social Determinates of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran Abstract Background: Considering the importance of complementary health insurance and the necessity of designing a supplementary insurance model for the health system of the country, the purpose...