Genomic and Proteomic data exploration and pattern mining
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Updated
Jul 30, 2022 - Scheme
Genomic and Proteomic data exploration and pattern mining
GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
🌶 An R package for genetic analysis of populations with mixed (clonal/sexual) reproduction
Analysis of Sars Cov-2 Gene Mutations using Python Numpy and Matplotlib
TREDPARSE: HLI Short Tandem Repeat (STR) caller
Tool for integrative gene-based association analysis using GWAS summary stats
Materials for the ACE - Uganda course "Principles of Sequence Analysis and Phylogenetics" given in Spring 2020.
Pipeline to compute associations between genome-wide trans QTL scores and phenotype of interest
Introductory notes on using Geneious (Biomatters) at NIAID
Zhian Kamvar's Ph. D. dissertation from Oregon State University
MapMaker/Exp 3.0b and MapMaker/QTL 1.1, updated to add various improvements including multithreading
MultiSKAT is an R-package focused at rare-variant analysis of continuous multiple phenotype data. This project contains the R-codes/functions (including an example dataset) to carry out the MultiSKAT tests.
Transfer Learning of Gene Expression Signatures in Python.
Simulate basic population genetics on fake creatures' DNA. Concepts of mutation, crossover, fitness distribution covered. Prototype algorithm for ProcJam 2018
Code and raw data used in the analyses for: Trans-acting genetic variation affects the expression of adjacent genes via horizontal mechanisms.
Genetic Insights from 23andMe Data Analysis: This repository contains Python code that processes 23andMe raw genomic data, performs SNP matching, and explores genetic traits. Genetic traits like eye color, height, intelligence, and disease risks are determined from matched SNPs.
Genetic Algorithms WS15/16 hda
DNAc is a programming language for DNAs.
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