Informações sobre o curso: This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.
Desenvolvido por: Johns Hopkins University
Ministrado por: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
Ministrado por: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Informações básicas | Curso 1 de 8 no Genomic Data Science Specialization |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Overview
In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications".
8 vídeos, 2 leituras
- Reading: Syllabus
- Reading: Pre-Course Survey
- Vídeo: What Is Genomics?
- Vídeo: What Is Genomic Data Science?
- Vídeo: Just Enough Cell Biology
- Vídeo: Important Molecules in Molecular Biology
- Vídeo: The Human Genome Project
- Vídeo: Molecular Biology Structures
- Vídeo: From Genes to Phenotypes
Nota atribuída: Quiz 1: Overview and Molecular Biology
SEMANA 2
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
3 vídeos
- Vídeo: Next Generation Sequencing
- Vídeo: Applications of Sequencing
Nota atribuída: Quiz 2: Measurement Technology
SEMANA 3
Computing Technology
The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software.
6 vídeos
- Vídeo: Algorithms
- Vídeo: Memory and Data Structures
- Vídeo: Efficiency
- Vídeo: Software Engineering
- Vídeo: What is Computational Biology Software
Nota atribuída: Quiz 3: Computing Technology
SEMANA 4
Data Science Technology
In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'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.
10 vídeos, 2 leituras
- Vídeo: What Went Wrong?
- Vídeo: The Central Dogma of Statistics
- Vídeo: Data Sharing Plans
- Vídeo: Getting Help with Statistics
- Vídeo: Plotting Your Data
- Vídeo: Sample Size and Variability
- Vídeo: Statistical Significance
- Vídeo: Multiple Testing
- Vídeo: Study Design, Batch Effects, and Confounding
- Reading: Course Project Instructions and Reading
- Reading: Post-Course Survey
Nota atribuída: Quiz 4: Data Science Technology
Nota atribuída: Course Project
Perguntas frequentes
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Coursework
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Desenvolvedores
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
Lets talk about real life BIG DATA. Ja.
a great introduction
amazing
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V
The course was interesting if you want to start learning Genomics and Data Science. Some of the videos are very basic if you're a biologist but if you don't know any basic NGS and statistics, it is worth taking this course. Overall I enjoyed the course and it encouraged me to continue taking the other courses of this specialization.