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13 materials found

Authors: David Wishart  or malloryfreeberg 


Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ChIP-sequencing is a method used to analyze protein interactions with DNA.

Questions of the tutorial:

  • How is raw ChIP-seq data processed and analyzed?
  • What are the binding sites of Tal1?
  • Which genes are regulated by Tal1?

Objectives of the tutorial:

  • Inspect read quality with FastQC -...

Resource type: Tutorial

Transcriptomics - Reference-based RNA-Seq data analysis

Training material for all kinds of transcriptomics analysis.

Questions of the tutorial:

  • What are the effects of Pasilla (PS) gene depletion on splicing events?
  • How to analyze RNA sequencing data using a reference genome?

Objectives of the tutorial:

  • Analysis of RNA sequencing data using...

Resource type: Tutorial

Transcriptomics - Differential abundance testing of small RNAs

Training material for all kinds of transcriptomics analysis.

Questions of the tutorial:

  • What small RNAs are expressed?
  • What RNA features have significantly different numbers of small RNAs targeting them between two conditions?

Objectives of the tutorial:

  • Process small RNA-seq datasets...

Resource type: Tutorial

Transcriptomics - De novo transcriptome reconstruction with RNA-Seq

Training material for all kinds of transcriptomics analysis.

Questions of the tutorial:

  • What genes are differentially expressed between G1E cells and megakaryocytes?
  • How can we generate a transcriptome de novo from RNA sequencing data?

Objectives of the tutorial:

  • Analysis of RNA...

Resource type: Tutorial