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Authors: David Wishart  or Aidan Budd 

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 6-Future of Metabolomics http://tess.elixir-uk.org/materials/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. Researchers Post-Doctoral Fellows Graduate students Biologists, Genomicists, Computer Scientists
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 3-Databases for Chemical, Spectral, and Biological Data http://tess.elixir-uk.org/materials/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. Researchers Post-Doctoral Fellows Graduate Students Biologists, Genomicists, Computer Scientists
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 2-Metabolite Identification and Annotation http://tess.elixir-uk.org/materials/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. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
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 2018 Module 1-Introduction to Metabolomics http://tess.elixir-uk.org/materials/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. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
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 6-Future of Metabolomics http://tess.elixir-uk.org/materials/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. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
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 5-MetaboAnalyst http://tess.elixir-uk.org/materials/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. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
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 3-Databases for Chemical, Spectral, and Biological Data http://tess.elixir-uk.org/materials/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. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
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 2-Metabolite Identification and Annotation http://tess.elixir-uk.org/materials/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. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
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.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics http://tess.elixir-uk.org/materials/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. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies

Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood.

Keywords: Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment

Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies http://tess.elixir-uk.org/materials/introduction-to-multiple-sequence-alignments-msas-and-phylogenies Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood. Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment Bench biologists Post-Doctoral Fellows Postgraduate students principle investigators 2013-12-19 2017-10-09
Summarising sets of phylogenies

A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes...

Keywords: Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics

Summarising sets of phylogenies http://tess.elixir-uk.org/materials/summarising-sets-of-phylogenies A presentation given as part of the Basic Evolution Workshop, a trans-African virtual training course (described in this BioEssays article PMID: 21312200; the course wiki is here http://molecevol10.wikispaces.com/). Introduces concepts of splits, consensus trees, consensus networks, describes examples of applications of these tools, along with introducing ideas of tree topology and some terminology associated with it. Designed for remote training. Bootstrap, Consensus trees, Phylogenetic splits, Phylogenetics Bench biologists 2013-10-23 2017-10-09
Introduction to Multiple Sequence Alignment

An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of...

Keywords: Multiple sequence analysis, Protein structure, Sequence analysis

Introduction to Multiple Sequence Alignment http://tess.elixir-uk.org/materials/introduction-to-multiple-sequence-alignment An introduction to multiple sequence alignments (MSAs) for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on describing: the "anatomy" of a sequence alignment; two alternative interpretations of alignmetns (structural and evolutionary), and ways of building manual and automatic alignments, and an introduction to JalView Multiple sequence analysis, Protein structure, Sequence analysis Bench biologists 2013-10-23 2017-10-09
Introduction to Bioinformatics

An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could...

Keywords: Introduction bioinformatics

Introduction to Bioinformatics http://tess.elixir-uk.org/materials/introduction-to-bioinformatics An introduction to bioinformatics for bench biologists delivered as part of the EMBL Australia Masterclass on Protein Sequence Analysis http://oz-masterclass.wikispaces.com/ . Focuses on using UniProt to explore different reasons why information inferred by "direct assay" and "prediction" could be wrong, and what we can do to spot it. Introduction bioinformatics Bench biologists 2013-10-23 2017-10-09
Interpreting Phylogenies

Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic...

Keywords: Molecular evolution, Phylogenetics

Interpreting Phylogenies http://tess.elixir-uk.org/materials/interpreting-phylogenies Content for a one-day course delivered in April 2013 at the University of Cambridge, together with Sarah Parks, Cilia Antoniou, and Adrian Friday. Uses examples taken from several published papers to explore some of the assumptions and concepts we use when presenting and interpreting phylogenetic trees. Includes exercises on visulaising and manipulating trees using Dendroscope and NJplot to reinforce some of these ideas, while also providing a very basic overview of steps involved in a generic phylogenetic analysis. Molecular evolution, Phylogenetics experimeintal biologist researchers field biologist researchers 2013-09-13 2017-10-09