R – IRIC's Bioinformatics Platform

R or Python, you choose!

Updated 27/08/2018 I have already briefly introduced pandas, a Python library, by comparing some of its functions to their equivalents in R. Pandas is a library that makes Python almost as convenient as R when doing data visualization and exploration from matrices and data frames (it is built on top of numpy). It has evolved a lot these past few years as has its community of users. Although pandas is being integrated in a number of specialized packages, such as rdkit [...]

By Geneviève|2018-08-28T10:18:53+00:00June 26, 2017|Categories: Data Analysis, Python, R|Tags: beginner, data analysis|1 Comment

ggplot2 101 : Easy Visualization for Easier Analysis

Biological data are often easier to interpret and analyse when we can visualize them via a plot format. A good way of doing so is by exploiting the different options of ggplot2, a R plotting system. In the following post, I will present some of my go-to tricks to visualize data: nothing to fancy or to hard, perfect for both the R masters and the R beginners! The sample codes are in R and the ggplot2 library must be installed [...]

By Caroline|2017-05-19T15:08:52+00:00May 18, 2017|Categories: Data Analysis, Data Visualization, R, Uncategorized|0 Comments

Create a nice looking table using R

Hi everyone, Today I will introduce formattable. This package is designed for applying formatting on vectors and data frames to make data presentation easier, richer, more flexible and hopefully convey more information. We will see how to use this package to interpret your data at a glance, with just a few lines of code (You can follow along below as well as check all the code in my git). Before going further, I will specify that this package is generally used [...]

By Éric|2017-10-25T10:14:46+00:00March 30, 2017|Categories: Data Visualization, R|Tags: data analysis, web development|9 Comments

Introduction to cowplot to combine several plots in one with R

Hi everyone, Today I will introduce cowplot, an extension of ggplot2 library. Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. As you can see, this library can be useful to easily create a figure containing multiple plots. But we will see how we can use it to create [...]

By Éric|2017-04-29T16:22:55+00:00November 28, 2016|Categories: Data Visualization, R|0 Comments

Pivoting tables : from long to wide

As bioinformaticians, we often have to work with data that are not formatted the way we would need them to be. One case we might encounter is receiving data in a "long" format instead of receiving them in a more familiar "wide" format. For those of you familiar with the ggplot R package, you know this format very well. It's the format required by ggplot to produce its nice graphs. Long genes samples expression 1 BAD S01 7.525395 2 [...]

By Geneviève|2017-04-29T18:11:56+00:00November 14, 2016|Categories: Data Analysis, Python, R|Tags: data manipulation|0 Comments