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.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
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100 % en línea
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Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Serbio, Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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Prueba Coursera para negociosHabilidades que obtendrás
- Bioinformatics
- Statistics
- Data Science
- Computational Biology
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Serbio, Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
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
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 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)
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
Reseñas
- 5 stars65,97 %
- 4 stars27,30 %
- 3 stars5,27 %
- 2 stars0,93 %
- 1 star0,51 %
Principales reseñas sobre INTRODUCTION TO GENOMIC TECHNOLOGIES
por AN9 de may. de 2022
Thanks to everyone who made this. Such can wait to start the second course. h a superb course; it started slowly and sort of an easy thing, but the last lecture was phenomenal
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 SZ5 de mar. de 2020
The tutorial videos were concise while delivering the essential material. The speakers were also engaging and it was a joy to watch them. Overall fairly satisfied with the course.
por KT16 de nov. de 2019
This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future
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