Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
Este curso forma parte de Programa especializado: Genomic Data Science
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Programa especializado: Genomic Data ScienceUniversidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
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Curso 6 de 8 en
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
BioinformaticsBioconductorGenomicsR Programming
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.
Curso 6 de 8 en
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), 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
3 horas para completar
Week One
The class will cover how to install and use Bioconductor software. We will discuss common data structures, including ExpressionSets, SummarizedExperiment and GRanges used across several types of analyses.
3 horas para completar
16 videos (Total 126 minutos), 3 lecturas, 1 cuestionario
2 horas para completar
Week Two
In this week we will learn how to represent and compute on biological sequences, both at the whole-genome level and at the level of millions of short reads.
2 horas para completar
8 videos (Total 81 minutos)
2 horas para completar
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
2 horas para completar
9 videos (Total 79 minutos)
2 horas para completar
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
2 horas para completar
7 videos (Total 81 minutos), 1 lectura, 1 cuestionario
Reseñas
Principales reseñas sobre BIOCONDUCTOR FOR GENOMIC DATA SCIENCE
por AT29 de ene. de 2016
Four stars because the content is good. Not five stars because the english is not so good and for a non-english expert it can be difficult to understand, and the subtitle contains quite often errors.
por JK30 de ago. de 2016
I think it is a good class overall but the pace is fast and the resources that can help you is lacking. This will be good for someone who already kind of understands bioconductor.
por GK27 de ago. de 2019
Before you can run, you must learn to walk. Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.
por MA11 de mar. de 2016
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
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.
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