chromosome
There are 0 repository under chromosome topic.
olmallet81 / GALGO-2.0
Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization
Language:C++ 212pranavkhurana / Time-table-scheduler
Time Table generation using Genetic Algorithms ( Java-Struts2)
Language:Java 211zengxiaofei / HapHiC
HapHiC: a fast, reference-independent, allele-aware scaffolding tool based on Hi-C data
Language:Python 96Genomicsplc / variantkey
Numerical Encoding for Human Genetic Variants
Language:C 37- tagore
jordanlab / tagore
The script presents a simple way to visualize features on human chromosome ideograms
Language:Python 36 kaustubhad / fastman
An R package for fast and efficient visualizing of GWAS results using Q-Q and Manhattan plots directly from PLINK output files.
Language:HTML 36billgreenwald / pgltools
Paired Genomic Loci Tool Suite
Language:Python 28opendnd / genetica
This is a tool for using a simplified genetics system to generate inheritable traits for DnD characters.
Language:TypeScript 21sguizard / DensityMap
DensityMap is perl tool for the visualization of features density along chromosomes
Language:Perl 17btmartin721 / ClineHelpR
Detects Outliers and plots genomic clines from BGC output, and extends the plotting functionality of INTROGRESS to Correlate genomic clines and hybrid indices with Environmental Variables
Language:R 16Computational-Intelligence-Fall18 / Genetics
Genetics (Initialization, Selection, Crossover, Mutation)
Language:Jupyter Notebook 15lukasuz / Banding-Pattern-Extraction
Banding pattern extraction and banding pattern segmentation mask generation for stained banded chromosome images.
Language:Python 14ArkaJU / SegNet---Chromosome
Separating Overlapping Chromosomes with SegNet.
Language:Python 13swvanderlaan / MetaGWASToolKit
A ToolKit to perform a Meta-analysis of Genome-Wide Association Studies
Language:Shell 13- Language:R 8
- GeneticAlgorithm
AliMarouf97 / GeneticAlgorithm
The library provides a general genetic algorithm. It is simple, easy to use, and very fast. All you need to do is to define the fitness function and its variables. There are many examples of how to deal with classic genetic algorithms problems.
Language:C++ 7 andreasprlic / karyotypeSVG
A javascript library to generate SVG based ideograms of chromosomes showing cytogenetic bands
Language:JavaScript 6yaoguangluo / Deta_Catalytic_DNA
Humanoid & catalytic DNA for AI 这个项目免费赠送给所有碳基智慧体. 生命词根,肽展公式模拟, 肽计算, DNA计算.
Language:Java 5KhaledAshrafH / Curve-Fitting
This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions
Language:C++ 4TomMakesThings / Genome-Sequence-Analysis-HMM
HMM for annotating coding regions of DNA in S. cerevisiae chromosome III
Language:Jupyter Notebook 4wangjuncongyu / DeepCHM
Deep learning for rotated object detection in Microscopy
Language:Python 4- Language:C++ 3
matthewstulz / HaikuGenerator
A genetic algorithm that generates random Haiku poems.
Language:Java 3- Language:C++ 3
adam-stogsdill / GeneAnalysisProgramming
Compilation of Gene Analysis Algorithms and Mutation Search Algorithms for hopefully some useful Machine Learning application later.
Language:Java 2AkshayRaul / 0-1-Knapsack-Genetic-Algorithm
0/1 Knapsack using Genetic Algorithm written in Java
Language:Java 2- Language:Ada 2
himanish-star / GA_Cricket_Team_Selection
Genetic Approach to making a team selection, based on previous performance
Language:JavaScript 2- Language:Python 2
lucasvalentim / chromosome-recognizer
Modelo para classificação de cromossomos e não cromossomos.
Language:Jupyter Notebook 2AncestorComposition / public
Estimate the ancestor composition of your genome
Language:Jupyter Notebook 1eannefawcett / Classifying-Gene-Locus-by-Protein-Composition
Modeling chromosomal gene location by protein composition
Language:Jupyter Notebook 1hashirshoaeb / Antenna-placement-problem
In 5 antenna problem we have to place 5 antennas (a, b, c, d, e) on a 6x6 grid in such a way that maximum area is covered by their signals. To find the best solution we use Genetic Algorithm, upon a population of twenty random individuals/chromosomes.
Language:Python 1- genetic-js
JianLoong / genetic-js
Genetic JS is a port of Genetic Sharp written in TypeScript.
Language:JavaScript 1 naanadr / image-processing-chromosomes
Chromosome image processing
Language:Jupyter Notebook 1PingjunChen / ChromosomeSeg
Overlapped chromosome segmentation
Language:Python 1
