tools for genetic genealogy and the analysis of consumer DNA test results
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Updated
Nov 12, 2024 - Python
tools for genetic genealogy and the analysis of consumer DNA test results
tools for reading, writing, merging, and remapping SNPs
Chromosome polymer simulations and in silico capture experiments
A dotplot generator for large chromosomes
Banding pattern extraction and banding pattern segmentation mask generation for stained banded chromosome images.
Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down synd…
Standardized identifiers and OWL classes for chromosomes and chromosomal parts across species
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.
A plugin to estimate chromosome sizes from karyotype images.
HTML widget for displaying IBD segments in an interactive ideogram using Ideogram.js
Assembler for HiC data
Node2Vec and PCA on Hi-C matrices for detecting chromosome translocations.
Evolutionary Chromosome Breakpoints Validator
Gexplora - user-interface to analyse genomic elements along chromosomes
Simple genetic data analysis for GEDKeeper
A python script that implements an efficient algorithm for the Chimeric Alignment problem. A virus infects a bacterium and modifies a replication process in the bacterium by adding for each A an A sequence of length 1-5, for each C a C sequence of length 1-10, for each G a G sequence of length >= 1 and for each T a T sequence of length >= 1.
A Python script that implements a two player strategic game with two chromosomes having length n and m of nucleotides respectively. In each Round of the game a player can destroy one of the chromosomes and split the other into two non-empty parts. The player who deletes the last nucleotide wins.
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