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15 materials found

Keywords: computer-science  or R-programming 


IFB Shiny training

Course organised by the French Institute of Bioinformatics (IFB) with the help of the Swiss Institute of Bioinformatics (SIB) in french
- 1st edition: 9-10 July 2019, Institut Pasteur (trainer: Frédéric Schütz)
- 2nd edition: 12-13 September 2019, Institut Pasteur (trainers: Christophe Malabat...

Keywords: R-programming, Reproducible Science

Initiation to R programming and descriptive statistics

This course material was designed with the on-site teaching program for PhD students at Institut Pasteur in mind.
It teaches the basics of R programming and descriptive statistics, and is hopefully detailed enough to be usable for self-study, with some rough guidelines given...

Keywords: R-programming, Descriptive statistics, Statistics, Bioinformatics

Data processing with R tidyverse

The four day course provides a complete introduction to data science in R with the tidyverse. The course will not go deep into statistics but rather getting data ready, some exploratory analysis, visualization and handling models.

Preparing data takes up to 90% of the time spent in analysis...

Keywords: R-programming

Resource type: course materials

Bioinformática con Ñ

El libro está dividido en seis grandes bloques, que a su vez han sido organizados en dos Volúmenes. El primer volumen trata sobre cuestiones generales, de utilidad independientemente del área de bioinformática en que se pueda estar interesado, como bases de datos o fundamentos de programación....

Scientific topics: Systems biology, Bioinformatics

Keywords: introduction to bioinformatics, structural biology, biomolecular databases, Systems biology, phylogenetics, Programming, Sequence Analysis, DNA RNA, Virtual Screening, molecular evolution, molecular dynamics, Molecular docking, normal modes analysis, Proteins, protein folding, protein structure alignment, chromatin structure, intrinsically disordered proteins, data minning, R-programming, parallel computing, bibliography management

Resource type: Book

Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R

An overview of Unix and R for bioinformatics

Keywords: Unix, R-programming

Resource type: Training materials

Data visualisation with R and ggplot2

This course provides a short beginners introduction to data visualisation using the R programming language and software environment for statistical computing and graphics. Sergio will demonstrate basic examples on how to import data, perform different types of plots and export graphics using R...

Keywords: R-programming

Resource type: course materials

Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...

Keywords: life-sciences, computer-science, bioinformatics, algorithms

Bioinformatics Capstone: Big Data in Biology

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.

In particular, in a series of Application Challenges will see how genome assembly can be used...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Finding Hidden Messages in DNA (Bioinformatics I)

Named a top 50 MOOC of all time by Class Central!

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

In the first half of the...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Finding Mutations in DNA and Proteins (Bioinformatics VI)

In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.

In the first half of the course, we would like to ask how an individual's genome differs from the...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Genome Sequencing (Bioinformatics II)

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome?

Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Biology Meets Programming: Bioinformatics for Beginners

Are you interested in learning how to program (in Python) within a scientific setting?

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction...

Keywords: life-sciences, computer-science, health-informatics, software-development

Genomic Data Science and Clustering (Bioinformatics V)

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.

In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We...

Keywords: life-sciences, computer-science, health-informatics, algorithms

Molecular Evolution (Bioinformatics IV)

In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time.

In the first half of the course, we will...

Keywords: life-sciences, computer-science, health-informatics, algorithms