- Type Validation
- Level Intermediate
- Time Months
- Cost Paid
BioHacker: Cancer Transcriptomics
Issued by
Praxis AI
Earners of the Cancer Transcriptomics credential have successfully demonstrated experiential skills in using data-intensive computing with genomics workflows on biomedical datasets – culminating in publication of scientific results and code. This badge requires 50+ hours of hands-on activities and labs across 20+ skills in medical bioinformatics. The Cancer Transcriptomics BioHacker credential was built in collaboration with world renowned professor Alex Feltus, currently at Clemson University.
- Type Validation
- Level Intermediate
- Time Months
- Cost Paid
Skills
- Adding Patient Data to GEM
- Advanced Command Line Usage
- Bash scripting
- Computational Biology
- Data Intensive Computing
- Data Wrangling
- Gene Co-expression Analysis
- Gene Expression
- Gene Regulatory Networks
- Genomic Data Formats
- Genomics Experimental Design
- Installing and Running Bioinformatics Workflows
- Jupyter Notebook
- Linux Fundamentals
- Navigating Genomics Databases
- Precision Medicine
- Publishing Results
- RNA Expression Analysis
- Transcriptomics
- Writing a Scientific Manuscript
Earning Criteria
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Complete 20+ hands-on cancer transcriptomics labs built on live biological computing systems
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AND - Complete all required learning resources in the Cancer Transcriptomics online journey, including videos, articles, activities, and discussion posts
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AND - Pass short assessments in all lessons
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AND - Participate in weekly virtual collaboration sessions with instructor(s), mentor(s), and peers
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AND - Conduct original cancer research using the skills, resources, and tools within the Cancer Transcriptomics journey
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OR - Pass capstone assessment of 100 questions at 80% score or greater
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OR - Ph.D. or 5-years of professional experience or ten published manuscripts in bioinformatics or transcriptomics