data analysis

Useful R techniques 3: row-wise and col-wise sum

Kazu Nozue / 2021-11-04

df <- tibble(x = 1:2, y = 3:4, z = 5:6) df2 <- rbind(df, colSums(df));df2 # col-wise ## # A tibble: 3 × 3 ## x y z ## <dbl> <dbl> <dbl> ## 1 1 3 5 ## 2 2 4 6 ## 3 3 7 11 df3 <- cbind(df,rowSums(df));df3 # row-wise ## x y z rowSums(df) ## 1 1 3 5 9 ## 2 2 4 6 12 Row-wise…

data analysis

Confirming genotypes by visualizing mutations from RNAseq data

Kazu Nozue / 2019-01-08

RNAseq is a powerful tool for transcriptome analysis. It is also useful for genotyping (for example, 1). Here I demonstrated an example of confirmation of genotype used for RNAseq. There are some unavoidable errors due to unexpected mistakes in many steps (eg. contamination of seeds, contamination…

data analysis

VennDiagram with differentially expressed genes

Kazu Nozue / 2018-12-28

The last time I posted how to draw a VennDiagram with a simulated data. This time I would like to explain how to draw a VennDiagram from differentially expressed genes (DEGs). […] library(limma) library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse…

data analysis

Interactive app for time-course data of your kids' meet scores

Kazu Nozue / 2018-11-06

Shiny package in R language can create a fantastic application in interactive mode using a browser (for free!). In an example below, you can download data file for four years of figure records in US junior olympics of synchronized swimming (public available data from USA synchro web site, compiled…

data analysis

Another plant defense hormone is required for responses to light in plant

Kazu Nozue / 2018-10-26

Plants use light as energy source as well as signals for environmental signal changes. Under the canopy shade phtosynthesis activity is reduced, therefore plants responded to existance of neighboring plants that causes near future crisis, such as growing taller and flowering earlier to produce seeds…

data analysis

DGE clustering with ggplot2

Kazu Nozue / 2018-10-24

Hierarchical clustering is powerful method to classify gene expression pattern. Here I applied a method develped by an example of plotly. […] # install.packages('ggdendro') library(tidyverse);library(ggdendro);library(plotly) Reading expression value # reading gene expression value…