Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
20.329 vistas recientes
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. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
BioinformaticsSamtoolsUnixCommand-Line Interface
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. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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
4 horas para completar
Basic Unix Commands
In this module, you will be introduced to command Line Tools for Genomic Data Science
4 horas para completar
12 videos (Total 105 minutos), 5 lecturas, 2 cuestionarios
3 horas para completar
Week Two
In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.
3 horas para completar
11 videos (Total 127 minutos), 1 lectura, 2 cuestionarios
2 horas para completar
Week Three
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
2 horas para completar
8 videos (Total 55 minutos), 1 lectura, 2 cuestionarios
3 horas para completar
Week Four
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.
3 horas para completar
8 videos (Total 75 minutos), 2 lecturas, 2 cuestionarios
Reseñas
Principales reseñas sobre COMMAND LINE TOOLS FOR GENOMIC DATA SCIENCE
por CW5 de ago. de 2020
There were some typos and confusion about the need not to follow the example code for Exam 4. However, I thought that the course was good and useful overall.\n\nThank You!
por SC17 de oct. de 2016
Th lecturer could be a little more engaging and the materials used during classes, if made available would help following it better, by replicating the examples being shown.
por LS23 de abr. de 2020
Some explanations are4 not completely clear. A good summary of what every tools does and of which rools should be used to tackle which situation would really beneficial
por AD26 de ago. de 2018
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
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