RNA Sequencing Courses and Certifications

Labroots

High-throughput RNA-Seq of Clinical Samples Using Covaris AFA Ultrasonication

Discover how Covaris AFA ultrasonication technology standardizes RNA fragmentation in clinical samples, enabling automated library preparation and improved RNA-Seq workflows for more reproducible sequencing data.

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

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

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

Ambry Genetics

RNA Sequencing as a Complement to DNA Genetic Testing - Ambry Genetics

Explore RNA sequencing technologies and their applications in understanding and diagnosing genetic diseases, with a focus on clinical utility and advanced analysis techniques.

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

Transcriptomics: Principles and Applications

Understanding genome-wide gene expression pattern through transcriptomics

• OpenLearning
• Self-Paced
• Paid Course

Career Certificate

Plant Bioinformatic Methods

2148 ratings at Coursera

Explore plant biology through bioinformatics, covering genomics, transcriptomics, and protein interactions. Learn to use 33 plant-specific tools and apply them in a capstone project to hypothesize gene functions.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Statistics for Genomic Data Science

381 ratings at Coursera

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

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

NGS & Cancer - RNAseq bulk

Formation à l'analyse de données NGS (Next Generation Sequencing) de type RNA-seq (bulk) à destination des chercheurs franciliens dans le domaine du cancer.

• France Université Numerique
• 18 hours
• Self-Paced
• Free Online Course

Bioinformatics Methods for Transcriptomics

Learn bioinformatics methods for analyzing RNA sequencing data, including gene expression, alternative splicing, and transcriptome reconstruction using popular tools like STAR, DESeq2, and Minimap2.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Bioinformatics Capstone: Big Data in Biology

29 ratings at Coursera

Explore BaseSpace platform for bioinformatics applications: genome assembly, RNA-Seq analysis, and sequencing comparisons. Optional: Build your own genome assembler for real-world data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Experimental Methods in Systems Biology

317 ratings at Coursera

Explore cutting-edge experimental techniques in systems biology, including RNA sequencing, proteomics, cytometry, and live-cell imaging, to build quantitative models of cellular function.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

KAUST

Fundamental Skills in Bioinformatics

93 ratings at Coursera

Develop practical programming and data analysis skills for bioinformatics using R and Python, covering RNA-seq analysis and essential statistical concepts for biological research.

• Coursera
• 1 day 27 minutes
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center Career Certificate

Researcher's Guide to Omic Data

36 ratings at Coursera

Comprehensive guide for researchers to understand and analyze omic data, covering fundamentals, DNA sequencing, and RNA sequencing, with a focus on practical applications in biomedical sciences.

• Coursera
• 8 weeks, 3 hours/week
• Self-Paced
• Paid Course
• 3 courses

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Introduction to Bioinformatics

10 ratings at Coursera

Discover bioinformatics fundamentals through hands-on analysis of RNA-seq, single-cell genomics, gene associations, and medical text mining using real datasets from NCBI, TCGA, and PubMed.

• Coursera
• 1 day 7 hours 35 minutes
• Self-Paced
• Paid Course