So let's talk about an application of bioinformatics in precision medicine.

What makes medicine precise? Better, more detailed and actionable data about each patient. See, one treatment cannot fit every individual. Broad definitions of disease make it less treatable and guesswork can never be precise. With better, more precise and detailed data comes a need for data analysis.

Common bioinformatics tasks in a precision medicine include the implementation and execution of well-established and reproducible workflows to process a patient’s omics data (genomics, transcriptomics, epigenomics, metagenomics), applying computational methods to detect altered genes (mutated, amplified/deleted, altered expression, etc.), to interpret the biological and clinical impact of such alterations, to establish therapeutic guidance based on the patient’s genomic profile and for health record data mining to achieve knowledge-driven clinical assessment.

After completing the first lecture and associated resources, you will have a good grasp on how data analysis skills and Next Generation Sequencing technologies are used today in precision medicine. You will also learn about various examples that highlight the role of precision medicine in a diverse range of fields from oncology, neuroscience, to even infectious diseases.

This is what we cover in this video:

00:00 Intro
00:37 Clinical And Molecular data
01:52 Next Generation Sequencing
02:34 From Lab To Clinic
03:22 Case Studies in Precision Medicine

Introduction to Bioinformatics For Precision Medicine (Lecture 1)
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Associated resources:

Bioinformatics for beginners (courses):
"Introduction to Bioinformatics" [ Ссылка ]
"Bytes and Molecules" [ Ссылка ]]
"Genomics"
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More courses available on [ Ссылка ]

Case Studies:

- Cystic Fibrosis
- Inherited Sickle Cell Anemia
- BRCA1 / BRCA2 Mutations : [ Ссылка ]
- AMY1 Gene And Copy Number
- Drug Resistant Mycobacterium Tuberculosis: [ Ссылка ]
- CYP3A5 And Tacrolimus Metabolism
- Herceptin Cancer Drug
- Castration-Resistant Prostate Cancer

Ready to get started? This video is just a preview. If you want to see more, join Omics Logic: A place to learn bioinformatics and data science for biology students. This portal is about scientific inquiry using complex biological data. We call it "Omics" - genomics, transcriptomics, meta genomics, epigenomics.

Get started with a complete a free course in Bioinformatics: learn.omicslogic.com

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What else do we do? We offer bioinformatics training and analysis software, check them out on the links below:
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Our channel is about bioinformatics and its application to various biomedical and biotechnology challenges. We cover lots of cool topics on data analysis, machine learning and various technologies that generate high-throughput data like genomics, transcriptomics, metagenomics, epigenomics and others.

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