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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows
LXDE RStudio with support for bioconductor tools
An LXDE Rstudio with pre-loaded Bioconductor tools for rna-seq DE analysis & visualisation
Keywords: RNA-Seq, IFR, Institute of Food Research, Quadram Institute
LXDE RStudio with support for bioconductor tools
https://hub.docker.com/r/foodresearch/ifr_rstudio_bioc/
http://tess.elixir-uk.org/materials/lxde-rstudio-with-support-for-bioconductor-tools
An LXDE Rstudio with pre-loaded Bioconductor tools for rna-seq DE analysis & visualisation
Mark Fernandes
RNA-Seq, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the EBI's Introduction to RNA-seq course
This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.
Keywords: RNA-Seq, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the EBI's Introduction to RNA-seq course
https://hub.docker.com/r/foodresearch/ifr_rnaseq_course/
http://tess.elixir-uk.org/materials/ifr-dockerised-version-of-the-ebi-s-introduction-to-rna-seq-course
This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.
Mark Fernandes
RNA-Seq, IFR, Institute of Food Research, Quadram Institute
Docker version of Welsh Gene Park NGS course
Docker version of Welsh Gene Park NGS course
Keywords: NGS, IFR, Institute of Food Research, Quadram Institute
Docker version of Welsh Gene Park NGS course
https://hub.docker.com/r/foodresearch/ngs_intro/
http://tess.elixir-uk.org/materials/docker-version-of-welsh-gene-park-ngs-course
Docker version of Welsh Gene Park NGS course
Mark Fernandes
Welsh Gene Park
NGS, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the Welsh Genepark's Introduction to Command-line NGS Analysis
The IFR Dockerised version of the Welsh Genepark's
Introduction to Command-line NGS Analysis course
Keywords: NGS, Command line, IFR, Institute of Food Research, Quadram Institute
IFR Dockerised version of the Welsh Genepark's Introduction to Command-line NGS Analysis
https://hub.docker.com/r/foodresearch/bppc/
http://tess.elixir-uk.org/materials/ifr-dockerised-version-of-the-welsh-genepark-s-introduction-to-command-line-ngs-analysis
The IFR Dockerised version of the Welsh Genepark's
Introduction to Command-line NGS Analysis course
Mark Fernandes
Welsh Gene Park
NGS, Command line, IFR, Institute of Food Research, Quadram Institute