Masahiro Kanai (@mkanai)
  • Stars
    star
    189
  • Global Rank 128,820 (Top 5 %)
  • Followers 107
  • Following 8
  • Registered about 15 years ago
  • Most used languages
    R
    66.7 %
    Python
    27.8 %
  • Location ๐Ÿ‡บ๐Ÿ‡ธ United States
  • Country Total Rank 31,692
  • Country Ranking
    R
    304

Top repositories

1

fujiplot

๐Ÿ—ป Fuji plotโ€”a circos representation of multiple GWAS resultsโ€” ๐Ÿ—ป
R
64
star
2

ldsc-corrplot-rg

corrplot of LDSC genetic correlation results
R
36
star
3

ldsc-network-plot

Network representation of LDSC results
R
20
star
4

grimon

R package for plotting 3D graphical visualization of multi-omics data.
R
20
star
5

mr-forestplot

R
7
star
6

eas_partitioned_ldscore

Partitioned LD Scores for the EAS population
Python
6
star
7

finemapping-insights

Code for Kanai, M. et al. Insights from complex trait fine-mapping across diverse populations. (2021)
R
5
star
8

finemapping-pipeline

Python
5
star
9

ggman

R package for plotting a manhattan plot using ggplot2.
R
4
star
10

WRShd

An Experimental Refactor of the Harrell-Davis Estimate Functions from R. R. Wilcox' Robust Statistics Package WRS https://github.com/nicebread/WRS
R
3
star
11

locusviz

Yet another locus visualization package in R
R
3
star
12

minimgnt

A mini subset of the MAGENTA software, reimplemented in Python.
Python
3
star
13

deFinetti

R package for plotting a de Finetti diagram and distributions of F-statistics of genotypes.
R
2
star
14

slalom

SLALOM (suspicious loci analysis of meta-analysis summary statistics)
Python
2
star
15

GWAS_threshold_scripts

This repository contains the scripts used in Kanai, M. et al. (2016)
R
1
star
16

rgsutil

A simple gsutil wrapper in R
R
1
star
17

MAGENTApy

Experimental port of MAGENTA software to Python.
Python
1
star
18

slalom-paper

Code for Kanai, M. et al. Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. (2022)
Jupyter Notebook
1
star