Search Results for "raspberry-gpio-python" - Page 4
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Showing 300 open source projects for "raspberry-gpio-python"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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The Apple Device Management and Security PlatformAchieve harmony across your Apple device fleet with Kandji's unmatched management and security capabilities.
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CorNetMap
A tool for Gene Expression Correlation Network
Capabilities of CorNetMap: 1. Read data as tab-delimited text file. Can be used for analysis of any data set beyond gene expression. 2. Capable of both two-dimensional and multidimensional data analysis. 3. Calculate Pearson correlation and cross-correlation for analysis data with phase difference. 4. Generate correlation Heat-map and draws network map. 5. Save correlation data as text file. How to use and doccumentation:... -
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pybrn is a Python package for the analysis of biochemical reaction networks. It provides basic model handling capabilities, import from SBML, analysis of conservation relations, steady state computation and model simulation.
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This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data
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P3BSseq
Parallel processing pipeline for analysis of bisulfite sequencing data
Bisulfite sequencing (BSseq) processing is among the most cumbersome next generation sequencing (NGS) applications. Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and memory-usage demanding. 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,... -
Scalable restaurant tech for stellar guest experiencesHungerRush helps restaurants compete in the toughest business on earth. We offer a fully integrated restaurant management system that’s easy to use and can be configured to engage your guests better, streamline your operations, master your own marketing, or all of the above. Want to offer online ordering? It’s built in. Want to get the latest performance data on your operations and marketing? No problem. Want to make customers for life by creating personalized experiences you know they’ll love? Order up. And since our system is backed by a dedicated and US-based support team, you’ll always be ready for the rush.
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converts a SAM file to fasta file. SAM file is a file output from bwa alignment software. It outputs aligned fasta file.
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are... -
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The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
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BayesRate
Bayesian estimation of diversification rates
BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175. -
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LGTmate
Lateral Gene Transfer utility
LGTmate is a simple and powerful bioinformatic software tool to identify lateral gene transfer events and contaminants in Eukaryotic proteomes. It is available as a GUI or command-line application, with no dependencies and no installation required. -
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LipidXplorer is an uniqe software to identify lipids from high to low resolution mass spectra.
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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HTSeq
Analysing high-throughput sequencing data with Python
This SourceForge page is outdated! HTSeq has been moved to github: https://github.com/simon-anders/htseq General information and documentation on HTSeq; http://www-huber.embl.de/users/anders/HTSeq -
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iMSAT represents a full update of the vcf2MSAT program. This command line python program allows for a user to use the polymorphism data generated using SAM- and BAM-tools and a .fasta alignment file to search for polymorphic microsatellite markers (MSATs or STRs). By identifying polymorphic makers, rather than simple repeat regions as previous programs have done, iMSAT greatly increases the speed at which polymorphic MSATs that can be identified -- saving researchers precious time and money. ...
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
SAT-Assembler is a scalable and accurate gene assembly tool for large-scale RNA-Seq and metagenomic data. It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.
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pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic, sequence variation, and expression datasets is now available. ... -
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ExSTraCS
Extended Supervised Tracking and Classifying System
...It can flexibly handle (1) discrete or continuous attributes, (2) missing data, (3) balanced or imbalanced datasets, and (4) binary or many classes. A complete users guide for ExSTraCS is included. Coded in Python 2.7. -
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The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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...The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
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