Search Results for "hardware"

BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.

...Commits have been disabled for the subversion sourceforge repository and new development is being done on the github repository. Java tools for Address-Event Representation (AER) neuromorphic processing. Uses USB hardware. See wiki at https://sourceforge.net/p/jaer/wiki/

...We have developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment, generates BED methylome and report files following the NIH standards. P3BSseq outperforms the known BSseq mappers regarding running time, computer hardware requirements. We optimized the P3BSseq parameters for both directional and non-directional libraries, and for both single-end and paired-end reads of Whole Genome and Reduced Representation BSseq. P3BSseq is a user-friendly streamlined solution for BSseq upstream analysis, requiring only basic computer and NGS knowledge.

...For the human genome, PASHA achieves competitive assembly quality with ABySS and is able to complete the assembly in about 21 hours, which is about 2.38× faster than ABySS on the same hardware configurations.

CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...

...PARSEC represents an intuitive, modular (easily extensible) and all-in-one solution for the efficient integration of lots of diverse genomic information in order to perform nonlinear localization and characterization of biological sites in a user-friendly environment. See the wiki for hardware requirements and supported browsers.

The C Protein Folding Library is a minimalistic, high-performance modular library of C functions and data structures for computing folding simulations of proteins on a wide variety of computer hardware.

The purpose of the Programmable Chip EEG BCI project is to create a EEG that is modernized with some of the latest hardware. The Design uses lower amplification and higher bit analog to digital converters to remove the need for filtering and amplifying.

Working hardware has been built and is in a late beta stage. Software is also available.

Bio-SPHERE aims to create a flexible, secure and multimodal biometric platform for applications that require biometrics. Bio-SPHERE is formed by a network of interacting nodes that interface with biometric hardware and offer biometric functions.

This project will develop cross-platform Java software for interfacing with EEG devices, specifically hardware developed by the OpenEEG project (http://openeeg.sourceforge.net/).

Ce projet couvre tous les développements logiciels qu'Unitec, le club de robotique de l'UTBM, va entreprendre pour la coupe de France de robotique E=M6.

Surviving bots is continuous software application in Java that will guide robots to search for energy source around it, tap it and explore ahead for survival and thus evolve into much more advance system.Software is ment to be hardware independent.