Course
Live
Intermediate
Dr. Omics
Specialised Course of CRISPR-Cas9: A Complete Bioinformatics Data Analysis Workflow
Master the complete bioinformatics workflow for CRISPR-Cas9—from guide RNA design and target analysis to off-target prediction and data interpretation.
- 5.0/5
- English
- Starts 05 Oct 2026
- Updated Sep 2026
About this course
Gain practical expertise in CRISPR-Cas9 bioinformatics and computational data analysis through a complete end-to-end workflow. This specialized course covers target sequence identification, guide RNA (gRNA) design, sequence analysis, PAM identification, on-target efficiency assessment, off-target prediction, genome-wide analysis, and interpretation of CRISPR-related datasets. Participants will learn to use relevant bioinformatics tools and databases to design, evaluate, and analyze CRISPR-Cas9 experiments, building the computational skills needed for modern gene-editing research.
What you will learn
Understand the computational principles of CRISPR-Cas9 gene editing.
Identify target sequences and suitable PAM sites.
Design and evaluate guide RNAs (gRNAs).
Perform computational off-target prediction and analysis.
Analyze CRISPR-related genomic datasets.
Interpret and visualize CRISPR-Cas9 bioinformatics results.
Develop an end-to-end computational workflow for CRISPR research.
Skills you will gain
CRISPR-Cas9 bioinformatics
target sequence identification
PAM site analysis
gRNA design
guide RNA evaluation
on-target prediction
off-target analysis
genome-wide sequence analysis
biological database usage
CRISPR data analysis
result interpretation
data visualization
bioinformatics workflow development
Certification
Available
Issued by Dr. OmicsCourse curriculum
1 moduleWhat you need to start
- Basic knowledge of molecular biology and genetics.
- Familiarity with DNA sequences and gene structure.
- Basic understanding of bioinformatics concepts is helpful but not mandatory.
- Basic computer skills.
Who this course is for
- B.Sc./M.Sc. students in Biotechnology, Bioinformatics, Microbiology, Biochemistry, Genetics, and Life Sciences.
- PhD scholars and research students working in gene editing or molecular biology.
- Researchers interested in computational CRISPR analysis.
- Bioinformatics professionals looking to expand their CRISPR-Cas9 skills.
- Beginners interested in learning the computational side of CRISPR-Cas9.
