Search Results for "c# develop"

MAGeCK2 is here: https://github.com/davidliwei/mageck2 Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at...

polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences

The target system of this project is to develop mathematically efficient program code generator from cellml like biological models described by mathematical markup languages.

This space is not maintained anymore. If you want to get the latest updates on fpocket refer to https://github.com/Discngine/fpocket. Fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level.

The EvoGrid is an effort to develop a distributed simulation system to simulate potential pre-biotic chemical environments.

The purpose of Mitrion-C Open Bio Project is to develop FPGA accelerated bioinformatics applications for the Mitrion Virtual Processor. The first accelerated application is NCBI BLAST.

PEBLS Evolutionary Biology Libraries (PEBLs) provides a framework to develop programs quickly and effectively in Java, C++, and C.

ĄHola!, for "Hordes of Little Atoms," is a project to develop a lean, modular, scalable toolkit for massive simulations of particle (molecular) dynamics. It is written in C and Python to get the best balance between programmer and run time.

This approach will implement an artificial intelligence (AI) on the hexy robot developed by ArcBotics

This collection of tools written in C++ with the STL library provides the basic building blocks to develop complex analysis pipelines on genomic coordinates.

This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.