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13 materials found

Authors: David Wishart  or Erik Hjerde 


Using the Norwegian e-infrastructure for Life Science and usegalaxy.no

Online course on using the Norwegian e-infrastructure for Life Science (NeLS) and the national supported Galaxy (usegalaxy.no). The course will consist of lessons covering the necessary topics alternating with hands-on sessions to gain practical experience.

Keywords: NeLS, Data storage, data sharing, Data analysis

Using the Norwegian e-infrastructure for Life Science and usegalaxy.no http://tess.elixir-uk.org/materials/using-the-norwegian-e-infrastructure-for-life-science-and-usegalaxy-no Online course on using the Norwegian e-infrastructure for Life Science (NeLS) and the national supported Galaxy (usegalaxy.no). The course will consist of lessons covering the necessary topics alternating with hands-on sessions to gain practical experience. NeLS, Data storage, data sharing, Data analysis PhD postdocs Researchers
Data Management Planning workshop for new Life Science Projects

Slides from Data Management Planning online workshop for Life Science Projects for researchers

Scientific topics: Data management

Operations: Data retrieval, Data handling, Deposition

Keywords: data management plan, NeLS, TSD, metadata, sensitive, data publication, data protection, storage, identifiers, DMP, licensing, Compliance, data life cycle - collect, data life cycle - reuse, data life cycle - analyse, data life cycle - process, data life cycle - preserve, data life cycle - share, data life cycle - plan

Resource type: Slides

Data Management Planning workshop for new Life Science Projects http://tess.elixir-uk.org/materials/data-management-planning-workshop-for-new-life-science-projects Slides from Data Management Planning online workshop for Life Science Projects for researchers Nazeefa Fatima Espen Åberg Eivind Coward Federico Bianchini Data management data management plan, NeLS, TSD, metadata, sensitive, data publication, data protection, storage, identifiers, DMP, licensing, Compliance, data life cycle - collect, data life cycle - reuse, data life cycle - analyse, data life cycle - process, data life cycle - preserve, data life cycle - share, data life cycle - plan Professor PhD candidate Postdoctoral researcher Researcher data steward / data manager data manager Senior scientist/ Principal investigator Life sciences
Hands-on workshop in Marine Metagenomics

Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway

Scientific topics: Marine biology, Metagenomics, Genomics

Keywords: Marine Metagenomics, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Hands-on workshop in Marine Metagenomics http://tess.elixir-uk.org/materials/hands-on-workshop-in-marine-metagenomics Materials from the ELIXIR workshop “Hands-on workshop in Marine Metagenomics”, Nov 26-30 2018 at the Arctic University of Norway, Tromso, Norway Erik Hjerde Nils Peder Willassen Espen Aberg Espen Mikal Robertsen Marine biology Metagenomics Genomics Marine Metagenomics, eLearning, EeLP Researchers Master students PhD students
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
Metagenomics data analysis

This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of...

Scientific topics: Metagenomics

Resource type: Video, course materials

Metagenomics data analysis http://tess.elixir-uk.org/materials/metagenomics-data-analysis This course covers metagenomics analysis from quality control, filtering and assembly to taxonomic classification, functional assignment and comparative metagenomics. In addition to covering the analysis of whole genome shotgun sequencing data, the course has also module on community analysis of amplicon sequencing data (16S rRNA). Finally, international databases and standards for storing the data are introduced. The course material includes slides, exercises and lecture videos. The workshop is organized in collaboration with the ELIXIR EXCELERATE project and PRACE, and it is part of the PRACE Advanced Training Centre activity. Eija Korpelainen Metagenomics