Bioconductor Courses and Certifications

Introduction to Bioconductor

6 ratings at edX

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

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

Case Studies in Functional Genomics

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
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Analysis for Genomics

Unlock genomics' potential: Analyze and interpret high-throughput data using R and Bioconductor. Master key concepts through coding, from basic to advanced techniques in functional genomics and data visualization.

• edX
• 13 weeks, 2-4 hours a week
• On-Demand
• $657.00
• 3 courses

Microcredential

Genomics Data Analysis

Acquire advanced skills in analyzing genomic data using R and Bioconductor. Learn high-performance computing, case studies in functional genomics, and genome-scale assay interpretation for cutting-edge research in genomics.

• edX
• 12 weeks, 2-4 hours a week
• On-Demand
• Paid Course

Bioconductor for Genomic Data Science

368 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
• 8-9 hours
• On-Demand
• Free Online Course (Audit)

Microcredential

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• On-Demand
• Paid Course
• 8 courses

Bioinformatic Methods II

478 ratings at Coursera

Explore bioinformatics tools for analyzing large-scale biological data, including protein motifs, interactions, structures, gene expression, and cis-regulatory elements. Gain practical skills for extracting meaningful insights from genomic datasets.

• Coursera
• 18 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Single-Cell RNA-Seq with Bioconductor in R

1 review

Analyze single-cell RNA-Seq data using normalization, dimensionality reduction, clustering and differential expression.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Differential Expression Analysis with limma in R

Learn to use the Bioconductor package limma for differential gene expression analysis.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

ChIP-seq with Bioconductor in R

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Docker

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

Explore containerized genomic data analysis with Bioconductor and Docker. Learn how Docker simplifies complex dependencies, enhances reproducibility, and streamlines deployment for efficient scientific research.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Java

R in Java - Performance and Implementation Challenges

Explore R integration in Java, covering performance, memory allocation, and language features. Learn about specialized interpreters and data types for efficient R-Java interoperability.

• YouTube
• 42 minutes
• On-Demand
• Free Online Course