University of Manchester - Clinical Bioinformatics: Unlocking Genomics in Healthcare
- Offered byFutureLearn
Clinical Bioinformatics: Unlocking Genomics in Healthcare at FutureLearn Overview
Clinical Bioinformatics: Unlocking Genomics in Healthcare
at FutureLearn
Duration | 5 weeks |
Total fee | ₹2,763 |
Mode of learning | Online |
Credential | Certificate |
Clinical Bioinformatics: Unlocking Genomics in Healthcare at FutureLearn Highlights
Clinical Bioinformatics: Unlocking Genomics in Healthcare
at FutureLearn
- Duration 5 weeks
- Weekly study 2 hours
Clinical Bioinformatics: Unlocking Genomics in Healthcare at FutureLearn Course details
Clinical Bioinformatics: Unlocking Genomics in Healthcare
at FutureLearn
Skills you will learn
More about this course
- This free online course aims to raise awareness amongst healthcare professionals of the role of Clinical Bioinformatics and Genomics in healthcare today. We will illustrate how the discipline of Clinical Bioinformatics provides an important bridge between the cutting edge science and the delivery of genomic medicine in clinical practice. By understanding the role of a Clinical Bioinformatician it will become clear how integral they are to ensuring the beneficial opportunities of genomic medicine are fully realised in patient care.
- This is an exciting time. We are now beginning to sequence whole genomes in the clinic, the most personal information we can have on a patient. We can start to see how genome variants might impact on health and we can direct really precise medicine to individual patients. This is not without its challenges. The genome is a huge amount of information. Identifying the causative variant (the part in the genome that can cause a change in health) is like looking for a needle in a haystack. But what does this phrase actually mean? This course will take you into the world of a Clinical Bioinformatician and show you what they do behind the scenes when finding that needle in the genomic data. It will also show you what happens next and the important contribution Clinical Bioinformatician's make to the patient's journey.
- Clinical Bioinformatics involves tools and technologies which require a certain set of skills and expertise. Using next generation sequencing techniques and data analysis allows the bioinformatician to filter and classify the information from the human genome. The course will bring these methods and processes to life using case studies, interviews with bioinformaticians and a host of activities to help you understand the basics of Clinical Bioinformatics.
- The role of clinical bioinformatics can be seen as providing a link between computer science and biology and so involves tools and technologies which require specific skills and expertise. Using Next Generation Sequencing (NGS) techniques and data analysis bioinformaticians and clinical scientists can identify, filter and classify variants found in the human genome linked with genetic disease. This course will bring these methods and processes to life using case studies, interviews with bioinformaticians and a host of activities to help you understand the role and its importance in genomic healthcare. You will also be able to see the benefits and the challenges to clinical bioinformatics in regards to wider ethical issues like those relating to data management - we'll be asking questions about how patient data is stored and who has access to it.
- On this course you there is an opportunity to purchase a
- that will provide both a physical and digital record of your participation. You might find this useful for demonstrating evidence of informal Continuing Professional Development (CPD), commitment to your career, or of your awareness of the issues in a particular subject.
Clinical Bioinformatics: Unlocking Genomics in Healthcare at FutureLearn Curriculum
Clinical Bioinformatics: Unlocking Genomics in Healthcare
at FutureLearn
Clinical Bioinformatics and Genomics
Transforming patient care
Ending the Diagnostic Odyssey
Clinical Bioinformatics in practice
Data & Diagnosis
Assembling the data
Managing the variants
Reporting the data
Tools and Workflow
Working with the genome
Filtering the VCF file
Putting it into Practice
Data and Ethics
Ethical and legal considerations in Bioinformatics and Genomics
Ethics in Practice
Applying Ethical Approaches
Case Studies
Returning to the clinical setting
Introducing the case study
Standards and Best Practice
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