hiroiwata
Hiroyoshi Iwata
Recently Published
GWAS in Practice
This is a GWAS tutorial with R.
Lecture 12 in bioStat2022
Multi-linear regression (2)
Lecture 11 in Biometrics 2022
Text mining
Lecture 11 in bioStat2022
Multi-linear regression
Lecture 10 in Biometrics 2022
Analysis of population genetic structure
Lecture 10 in bioStat2022
Simple regression
Lecture 09 in Biometrics 2022
Construction of a phylogenetic tree
Lecture 09 in bioStat2022
Correlation
Lecture 07 in bioStat2022
Genomic selection
Lecture 01 in bioStat2022
How to use R and visualize data using R
qtlMappingMinimum
最小コードでQTL解析を実行
QTL Mapping
本実験では、Rのパッケージagridatに含まれているオオムギの多環境試験データを例として解析を行う。
Prediction of sensory intensities to blueberry fruits based on biochemical variation (in Japanese)
Apply some regression methods to the blueberry data published by Gibert et al. (2015) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138494
主成分分析・クラスタ解析・分類器
バイオメトリックス 第11回講義資料
GWAS Simulator Minimum (in Japanese)
Minimum codes for GWAS simulation based on the public dataset of rice.
GWAS Simulation (in Japanese)
GWAS simulation based on the public dataset of rice.
Select 500 representatives (in Japanese)
Select 500 representative accessions based on a genomic relationship matrix. The k-medoids method is used for the selection.
GWAS Simulator Minimum (in Japanese)
A script for GS simulation with a public rice dataset. You can adjust the parameter settings for the simulation to evaluate their impact on the results of the simulations.
GWAS simulator (in Japanese)
Tutorial for GWAS simulation with a public rice dataset.
GWAS tutorial (in Japanese)
GWAS tutorial with a public rice dataset
GWAS GS tutorial (in Japanese)
R scripts to perform GWAS and GS with rice data.
GWASとGSを行うためのRスクリプト。イネデータを例として用いている。