Search Results for "framework-arduinoststm32"

DNA and RNA nucleotide sequences are an ubiquitous element of all biological cells and are serving on one hand as a comprehensive library of capabilities for the cells and on the other as an impressive regulatory system to control cellular function. The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. The platform enables researcher to apply multiple sequence aligners and further pre- and postprocessing tools in flexible combinations to analyze the subtle to remarkable differences between different sequence alignment and processing algorithms applied to the same data basis. ...

SPELL is a framework composed of an integrated environment for the development and execution of satellite automated procedures. It is capable of running any procedure via different Ground Control System and for any spacecraft. The goal of SPELL is to have a powerful and readable automation language, which can be shared across Satellite Operators and Satellite Manufacturers.

This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population.

MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.

...These include idioms (kick the bucket), noun compounds (cable car), phrasal verbs (take off, give up), etc. Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics. The mwetoolkit can be applied to virtually any text collection, language, and MWE type. It is a command-line tool written mostly in Python. Its development started in 2010 as a PhD thesis but the project keeps active (see the SVN logs). ...

RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.

Unix-based preparation and analysis toolbox for Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab using bash scripts, Gromacs tools and Matlab functions. NaRIBaS provides a framework that decouples user input parameter and terminal based command lines. NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting framework rather than a black-box software. ...

Development and support of OCFA have been discontinued. the code has moved to these github repositories: https://github.com/DNPA/OcfaLib https://github.com/DNPA/OcfaArch https://github.com/DNPA/OcfaJavaLib https://github.com/DNPA/OcfaModules https://github.com/DNPA/OcfaDoc If you are interested in contributing to ongoing work on the creation of a community maintained OCFA inspired computer forensic framework, please join the Mattock/MattockFS community page on G+: https://plus.google.com/communities/102487198908055860744

A helper function set written in bash to support DSLR image stacking with IRAF.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

The goal of this project is to develop a framework to test and measure the performance of IEEE 802.11 based devices. Currently we aims to address the issues related to protocol conformance testing for a device.

LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.

C++, Fortran, Java Linux, Windows/Cygwin Framework for Monte Carlo simulation of high-energy collisions