Introduction to Genomic Technologies
This course will expose you to the fundamental biology of contemporary genomics as well as the experimental methods used to quantify it. The Central Dogma of Molecular Biology will be introduced, as well as how next-generation sequencing may be used to analyze DNA, RNA, and epigenetic patterns. You'll also learn about essential ideas in computing and data science that will help you comprehend how data from next-generation sequencing tests is created and processed.
In this course, you can expect to study topics like "Just enough molecular biology," "The genome," "Writing a DNA sequence," "Central dogma," "Transcription," "Translation," and "DNA structure and modifications," learn about polymerase chain reaction, next generation sequencing, and applications of sequencing, and cover a few basic topics in computing technology. They'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software. They'll be covering quite a lot of information about how to handle the data produced during the sequencing process. They'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.
Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped them understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.
This course offers
- Flexible deadlines
- Shareable Certificate
- 100% online
- It takes approximately 6 hours to complete.
- Subtitles: Arabic, French, Portuguese (European), Serbian, Italian, Vietnamese, German, Russian, English, Spanish
Coursera rating: 4.6/5
Enroll here: https://www.coursera.org/learn/introduction-genomics#syllabus
