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funmap2

QTL mapping tools based on Functional Mapping for the longitudinal quantitative traits

funqtl

An R package for QTL mapping in function valued trait data

fxaf1gs

gemma

Genome-wide Efficient Mixed Model Association

gemma2

Zhou & Stephens (2014) GEMMA multivariate linear mixed model

genabel

:exclamation: This is a read-only mirror of the CRAN R package repository. GenABEL — genome-wide SNP association analysis. Homepage: http://www.genabel.org, http://forum.genabel.org,<U+000a>http://genabel.r-forge.r-project.org/ Report bugs for this package: http://r-forge.r-project.org/tracker/?group_id=505

genomebasedmodel

Integrating biological models with genome information via regressing model parameters on genome-wide SNPs

genomicmateselectr

Genomic Mate Selection

ggbio

基因结构图

ggcor

ggcor备用源，版权归houyunhuang所有，本源仅供应急使用

ggmsa

:traffic_light: Visualizing publication-quality multiple sequence alignment using ggplot2

gmat

Genomic Multivariate Analysis Tools

gmat-1

govs

Genome optimization via virtual simulation

gradient-forest-for-delineating-seed-and-breeding-zones

This is the code for manuscript "Using landscape genomics to delineate seed and breeding zones for lodgepole pine" by Yu et al., 2022, New Phytologist

growthpheno

生长性状

gwasqxe

hiblup

:surfer: HIBLUP is an Integration of Statistical Methods Under BLUP Framework for Genomic Selection and Prediction

intassoplot

ipat

iPat allows you to perform GWAS and GS with drags and clicks!

iplgp

jwas.jl

Julia for Whole-genome Analysis Software

jwasr

R wrapper for JWAS, with shiny GUI app inside.

kaml

:bicyclist: Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction

karyoploter

基因组可视化

ldblockshow

LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on VCF files

lerning_code

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

linket

machine-learning_deep-learning-manual

《机器学习及深度学习笔记》是我们的机器学习培训教材，主要面向算法和数据挖掘方向。其中包含了基础数学知识、算法原理及推导、调包实现、手推实现等内容~同样也是包括了文档以及jupyter notebook脚本实现（具体到每一张图片）