Bioconductor Courses and Certifications

Analyzing Genomic Data in R

Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.

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

Bioconductor for Genomic Data Science

386 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
• Self-Paced
• Paid Course

RNA-Seq with Bioconductor in R

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

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

Introduction to Bioconductor in R

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

• DataCamp
• 4 hours
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Conference Talk

Bioinformatic Methods II

489 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
• 19 hours
• Self-Paced
• Paid Course

Career Certificate

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
• Self-Paced
• Paid Course
• 8 courses

Bioinformatics for Biologists

Master hands-on bioinformatics skills including RNA-seq analysis, mathematical modeling, protein structure prediction, and drug interactions using R, Linux, and visualization tools.

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

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
• Self-Paced
• Free Video

Single-Cell RNA-Seq with Bioconductor in R

1 rating

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

• DataCamp
• 4 hours
• No Longer Offered
• Free Trial Available

Biological data analysis and visualization with R

Master data analysis and visualization techniques in R for biological datasets, from basic statistics to advanced methods like ChIP-seq analysis, regression models, and machine learning applications.

• Swayam
• 8 weeks
• No Longer Offered
• Free Online Course