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
Bioconductor for Genomic Data Science
ofrecido por
Acerca de este Curso
11,909 vistas recientes
Habilidades que obtendrás
BioinformaticsBioconductorGenomicsR Programming
Los estudiantes que toman este Course son
- Biostatisticians
- Biologists
- Scientists
- Researchers
- Data Scientists
Programa - Qué aprenderás en este curso
Semana
13 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.
16 videos (Total 126 minutos), 3 lecturas, 1 cuestionario
16 videos
Installing R on A Mac 2m
Installing R Studio on a Mac 1m
What is Bioconductor7m
Installing Bioconductor3m
The Bioconductor Website9m
Useful Online Resources5m
R Base Types18m
GRanges - Overview4m
IRanges - Basic Usage12m
GenomicRanges - GRanges8m
GenomicRanges - Basic GRanges Usage8m
GenomicRanges - seqinfo6m
AnnotationHub8m
Usecase: AnnotationHub and GRanges, part 112m
Usecase: AnnotationHub and GRanges, part 213m
3 lecturas
Welcome10m
Syllabus10m
Pre Course Survey10m
1 ejercicio de práctica
Quiz 120m
Semana
22 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.
8 videos (Total 81 minutos), 1 cuestionario
8 videos
BSgenome6m
Biostrings - Matching6m
BSgenome - Views9m
GenomicRanges - Rle12m
GenomicRanges - Lists6m
GenomicFeatures18m
rtracklayer - Data Import14m
1 ejercicio de práctica
Quiz 220m
Semana
32 horas para completar
Week Three
In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
9 videos (Total 79 minutos), 1 cuestionario
9 videos
Annotation Overview4m
ExpressionSet Overview4m
ExpressionSet9m
SummarizedExperiment7m
GEOquery6m
biomaRt13m
R S4 Classes16m
R S4 Methods10m
1 ejercicio de práctica
Quiz 320m
Semana
42 horas para completar
Week Four
In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
7 videos (Total 81 minutos), 1 lectura, 1 cuestionario
7 videos
Short Read4m
Rsamtools12m
oligo14m
limma16m
minfi11m
Count-based RNA-seq analysis15m
1 lectura
Post Course Survey10m
1 ejercicio de práctica
Quiz 420m
Principales revisiones sobre Bioconductor for Genomic Data Science
Before you can run, you must learn to walk.\n\nKasper's well paced tutorials will give you confidence using the tools you need for genomic study.
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
Instructor
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic MedicineBloomberg School of Public Health
Acerca de 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.
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.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
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¿Qué recibiré si me suscribo a este Programa especializado?
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