Bioconductor Courses and Certifications

Introduction to Bioconductor in R

124 ratings at DataCamp

Much of the biological research, from medicine to biotech, is moving toward sequence analysis.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

ChIP-seq with Bioconductor in R

52 ratings at DataCamp

ChIP-seq analysis is an important branch of bioinformatics.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Bioconductor for Genomic Data Science

388 ratings at Coursera

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Introduction to Bioconductor

10 ratings at edX

The structure, annotation, normalization, and interpretation of genome scale assays.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Advanced Bioconductor

1 rating

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Differential Expression Analysis with limma in R

57 ratings at DataCamp

Functional genomic technologies like microarrays, sequencing, and mass spectrometry enable scientists to gather unbiased measurements of gene expression levels on a genome-wide scale.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Analyzing Genomic Data in R

Are you interested in analyzing next-generation sequencing data but lacking in strong computational skills?

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

RNA-Seq with Bioconductor in R

146 ratings at DataCamp

RNA-Seq is an exciting next-generation sequencing method used for identifying genes and pathways underlying particular diseases or conditions.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

LiquidBrain Bioinformatics

Log2 Fold-Change & DESeq2 Model in a Nutshell

Understand why log2 fold change clarifies RNA-seq comparisons and how DESeq2 normalizes counts and tests differential gene expression in R.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

LiquidBrain Bioinformatics

Creating a Heatmap in R - ComplexHeatmap Tutorial Part 1

Walkthrough of customizing genomic heatmaps in R with the ComplexHeatmap Bioconductor package.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Career Certificate

Genomic Data Science

6859 ratings at Coursera

Analyze next-generation sequencing data: use the command line, Python, R and Bioconductor, DNA sequencing algorithms, and statistics to interpret genomic datasets.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Docker

Docker and Bioconductor - Delivering Containerized Open-Source Genomic Data Analysis Software

See how Docker packages Bioconductor’s complex R dependencies into reproducible container images for scalable genomic data analysis and education.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Bioinformatic Methods II

489 ratings at Coursera

Use web-based bioinformatics tools to find protein motifs, map protein-protein interactions, explore structures in PyMOL, and analyze RNA-seq expression with BioConductor plus cis-element predictions.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Case Studies in Functional Genomics

7 ratings at edX

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

• edX
• 5 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Data Analysis for Genomics

Learn advanced techniques to analyze genomics data

• edX
• 13 weeks, 2-4 hours a week
• Self-Paced
• $591.00
• 3 courses