Search Results for "genetic" - Page 3
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Showing 402 open source projects for "genetic"
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ConnectWise CPQ, formerly ConnectWise Sell, is a professional quote and proposal automation software for IT solution providers. ConnectWise CPQ offers a wide range of tools that enables IT solution providers to save time, quote more, and win big. Top features include professional quote or proposal templates, product catalog and sourcing, workflow automation, sales reporting, and integrations with best-in-breed solutions like Cisco, Dell, HP, and Salesforce.
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wgssat_nbfgr
WGSSAT: SSR Annotation Pipeline
... in various genomic regions and will also facilitate the development of markers for genetic analysis and related applications, such as marker-assisted breeding and linkage mapping. -
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This project is the cvs-home of very different projects. Look in the Forum to view short descriptions. Most recent (and actual) is "geneden", a genetic IA app with Swing GUI and...
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MimicrEE (Mimicing Experimental Evolution) is a tool for forward simulations of entire genomes. It basically allowes to simulate adaptation from standing genetic variation, thus no 'de novo' mutations are supported. It has been tested with 8,000 individulas having 2,000,000 million SNPs. Documentation: https://sourceforge.net/p/mimicree/wiki/Main/
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diauxic growth model ensemble
An ensemble of models showing diauxic growth behavior
... be categorized according to regulatory, stoichiometric, and physiological constraints and differ from each other on only a single aspect. We distinguish four groups of models: (1) flux balance models that only define reaction kinetics for substrate uptake and by-product excretion, (2) kinetic models without and (3) kinetic models with regulation on the metabolic and/or genetic level, and (4) resource allocation models. -
ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
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spectralHMM
A spectral method for inferring selection from time series data
***WARNING*** This software was migrated to: https://github.com/popgenmethods/spectralHMM Support and updates will only be available at this new address. This software implements the algorithms described in the following paper: Steinrücken, M., Bhaskar, A. and Song, Y.S. A novel spectral method for inferring general diploid selection from time series genetic data. Annals of Applied Statistics, Vol. 8, No. 4 (2014) 2203-2222 -
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code. By default, the class "GeneticCode" generates alternative... -
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jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.
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GA-tools
general genetic algorithms optimization fortran 95 routines
High level optimization routines in Fortran 95 for optimization problems using a genetic algorithm with elitism, steady-state-reproduction, dynamic operator scoring by merit, no-duplicates-in-population. Chromosome representation may be integer-array, real-array, permutation-array, character-array. Single objective and multi-objective maximization routines are present. Possible to incorporate own crossover and mutation operators exclusively or in addition to standard operators... -
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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Gene-Environment iNteraction Simulator 2
A tool able to simulate gene-environment and gene-gene interactions.
Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make... -
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Integrated Merging of Orthogonal [Genetic] Datasets to identify novel genes involved in processes starting with known genes. For UNIX-like systems (C code + TCSH scripts), command-line based.
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hadiproject
The following program measures the percentage similarity of protein se
This program is a multiple sequence comparison program for proteins. Scientists have pursued comparing sequences of proteins because it allowed them to have structural evidence of the species’ physical features without even having to look at the species, just by using the genetic sequence of their proteins. Comparing sequences also helps hypothesize the future for any evolutionary changes a certain species can go through based on its protein sequence compared to animals of the same species. -
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MicroGP
A multi-purpose extensible self-adaptive evolutionary algorithm
MicroGP (µGP, ugp) is a versatile optimizer able to outperform both human experts and conventional heuristics in finding the optimal solution of hard problems. It is an evolutionary algorithm since it mimics some principles of the Neo-Darwinian paradigm. ⚠️ A new version is available on https://github.com/squillero/microgp4 -
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Opt4J
Modular Java framework for meta-heuristic optimization
Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary... -
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Interactive graphics software for Cellular Automata, Random Boolean Networks, and multi-value Discrete Dynamical Networks -- space-time patterns and basins of attraction -- to study emergence, complexity, neural and genetic networks. www.ddlab.org
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tsp-problem-ga-aco-comparisson
Genetic Algorithm and Ant Colony to solve the TSP problem
This project compares the classical implementation of Genetic Algorithm and Ant Colony Optimization, to solve a TSP problem. It's possible to define the number of cities to visit , and also interactively create new cities to visit in a 2D spatial panel. A total distance is given for AG and ACO solution at end. -
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Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
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Sched-SPM
A C++ schedule generator based on Genetic Algorithm and Hill Climbing
Sched-SPM is a C++ schedule generator for software project staffing and rescheduling based on Genetic Algorithm (GA) and Hill Climbing (HC). This preliminary tool is mainly for academic purpose. It is implemented with GALib (http://lancet.mit.edu/ga/), an open-source toolkit of Genetic Algorithms in various platforms including Unix and Windows. The input and output files of the software are required as XML format. The input file includes tasks' and employees' information according... -
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PGAP
PGAP is a pipeline for pan-genome analysis.
PGAP is a pan-genomes analysis pipeline developed with Perl. It could perform five analytic functions with only one command, including cluster analysis of functional genes, pan-genome profile analysis, genetic variation analysis of functional genes, species evolution analysis and function enrichment analysis of gene clusters. -
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theoEA_Code
genetic algorithm for optimizing planar optical antennas
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
.... To enhance classification performances, we propose an ensemble of classifiers that combine the classification outputs of base classifiers using the simplest and largely used majority voting approach. Instead of creating the ensemble using all base classifiers, we have implemented a genetic algorithm (GA) to search for the best combination from heterogeneous base classifiers. The classification performances achieved by the proposed method method on the chosen datasets are promising. -
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evoNet
Deep learning for population genetic inference
This software implements the algorithms described in the following paper: Sheehan, S. and Song, Y.S. Deep learning for population genetic inference. PLoS Computational Biology, in press. -
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serein
A Framework to Model Metaheuristics
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A project-based tool for the annotation, manipulation, and analysis of genetic variants from next-gen sequencing studies.
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Multiple hypothesis testing is an essential step in GWAS analysis. Although the use of 5 × 10-8 has predominated human GWAS, the correct per-marker threshold differs as a function of species, marker densities, genetic relatedness, and trait heritability. However, no previous multiple testing correction methods can comprehensively account for these factors; therefore, these methods are not applicable for linear mixed models. MultiTrans is an efficient and accurate multiple testing correction...