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.
Este curso forma parte de Programa Especializado - Genomic Data Science
ofrecido por
Programa Especializado - Genomic Data ScienceUniversidad Johns HopkinsAcerca de este Curso
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Resultados profesionales del estudiante
32%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (de Brasil), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish), Chino (Chinese)
Habilidades que obtendrás
BioinformaticsStatisticsData ScienceComputational Biology
Resultados profesionales del estudiante
32%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (de Brasil), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish), Chino (Chinese)
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
2 horas para completar
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".
2 horas para completar
8 videos (Total 81 minutos), 2 lecturas, 1 cuestionario
8 videos
What Is Genomics?7m
What Is Genomic Data Science?8m
Just Enough Cell Biology8m
Important Molecules in Molecular Biology7m
The Human Genome Project17m
Molecular Biology Structures9m
From Genes to Phenotypes9m
2 lecturas
Syllabus10m
Pre-Course Survey10m
1 ejercicio de práctica
Quiz 1: Overview and Molecular Biology30m
1 hora para completar
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
1 hora para completar
3 videos (Total 25 minutos)
1 ejercicio de práctica
Quiz 2: Measurement Technology30m
1 hora para completar
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.
1 hora para completar
6 videos (Total 39 minutos)
6 videos
Algorithms4m
Memory and Data Structures6m
Efficiency3m
Software Engineering8m
What is Computational Biology Software11m
1 ejercicio de práctica
Quiz 3: Computing Technology30m
2 horas para completar
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.
2 horas para completar
10 videos (Total 55 minutos), 2 lecturas, 2 cuestionarios
10 videos
What Went Wrong?4m
The Central Dogma of Statistics3m
Data Sharing Plans4m
Getting Help with Statistics2m
Plotting Your Data5m
Sample Size and Variability7m
Statistical Significance6m
Multiple Testing7m
Study Design, Batch Effects, and Confounding7m
2 lecturas
Course Project Instructions and Reading10m
Post-Course Survey10m
2 ejercicios de práctica
Quiz 4: Data Science Technology30m
Course Project30m
Reseñas
Principales reseñas sobre INTRODUCTION TO GENOMIC TECHNOLOGIES
por SS27 de may. de 2020
It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
por KK20 de nov. de 2017
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
por GH5 de oct. de 2019
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
por NL25 de abr. de 2020
Great introduction to Genomics. The instructors really laid out the practical terms and gave great resources. Weeks 3 and 4 ramp up in difficulty, so some outside research in statistics is helpful.
Acerca de Programa especializado: Genomic Data Science
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
Preguntas Frecuentes
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Is financial aid available?
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