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Análise de dados genômicos em R

Você tem interesse em analisar dados de sequenciamento de última geração, mas não possui habilidades computacionais sólidas? Neste curso de habilidades, voltado para biólogos não computacionais, você aprenderá a usar o Bioconductor, o repositório especializado para software de bioinformática, juntamente com os pacotes essenciais do Bioconductor. Em seguida, você aprenderá sobre os fluxos de trabalho atuais de práticas recomendadas para análise de expressão diferencial de sequenciamento de RNA, bem como dados de sequenciamento de chip.

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1
R
Introduction to Bioconductor in R

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

2
R
RNA-Seq with Bioconductor in R

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

4 hours

Mary Piper Headshot

Mary Piper

Bioinformatics Consultant and Trainer

3
R
Differential Expression Analysis with limma in R

Learn to use the Bioconductor package limma for differential gene expression analysis.

4 hours

John Blischak Headshot

John Blischak

Postdoctoral Scholar at University of Chicago

4
R
ChIP-seq with Bioconductor in R

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

4 hours

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Peter Humburg

Statistician

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