Hands On Training

Introduction to Bioconductor in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Many biological research, including medicine, biotech and biotech, focuses now on sequence analysis. We are now generating big data from the whole genome that can be used for biological research. To help you get started, the Bioconductor project is presented. Bioconductor is the platform for sharing software tools (packages and workflows) that can be used to analyze and understand genomic data. Bioconductor is an open-source software resource that has been developed by the community. It's a great platform. The essential Bioconductor software packages will be taught, along with some of the built in datasets. It will be a wonderful experience to use BSgenome or Biostrings with actual datasets of different species.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

Introduction to R

What You Will Learn

By the end of this course, you will be able to use essential Bioconductor packages and get a grasp of its infrastructure and some built-in datasets

Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!

Course Content

Expand all sections

Module 1: What is Bioconductor?

Module 2: Biostrings and when to use them?

Module 3: IRanges and GenomicRanges

Module 4: Introducing ShortRead

Course Instructors

Paula Martinez

Data Scientist

Paula Andrea Martinez is currently working at The Life Sciences infrastructure ELIXIR Europe. She empowers life scientists by training them in software skills, data analysis, visualization and data s...