Register training material
20 materials found

Authors: Christine Staiger  or Bernardo Clavijo  or David Wishart 


Introduction to Persistent Identifiers

Module also available as self-study material in data carpentry style

Scientific topics: Data management

Keywords: system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers

Resource type: course materials

Introduction to Persistent Identifiers https://tess.elixir-europe.org/materials/introduction-to-persistent-identifiers Module also available as self-study material in data carpentry style Data management system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers data stewards data managers bioinformaticians
Helis Academy - Persistent identifiers and their use cases

Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source

Keywords: Referencing data and code, Findability of data and code, Identifying data and code, data management

Resource type: Slides

Helis Academy - Persistent identifiers and their use cases https://tess.elixir-europe.org/materials/persistent-identifiers-and-their-use-cases Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source Referencing data and code, Findability of data and code, Identifying data and code, data management data stewards Life Science Researchers bioinformaticians
Helis Academy - Data Sharing, publishing and archiving

Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital...

Keywords: data sharing, Data publishing, data archiving, data repositories, data management

Resource type: Slides

Helis Academy - Data Sharing, publishing and archiving https://tess.elixir-europe.org/materials/data-sharing-publishing-and-archiving Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital archives o Finding your ideal archive data sharing, Data publishing, data archiving, data repositories, data management
Introduction to FAIR data stewardship

FAIR data Stewardship: How to improve the reuse of nanosafety data

Scientific topics: Data management

Keywords: FAIR

Introduction to FAIR data stewardship https://tess.elixir-europe.org/materials/introduction-to-fair-data-stewardship FAIR data Stewardship: How to improve the reuse of nanosafety data Data management FAIR Life Science Researchers
FAIR Data Stewardship - Data sharing, archiving and publishing

The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities...

Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication

Resource type: Slides, Training materials

FAIR Data Stewardship - Data sharing, archiving and publishing https://tess.elixir-europe.org/materials/fair-data-stewardship-data-sharing-archiving-and-publishing The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge. Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication General Interest Scientists Researchers data stewards
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://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
Genome assembly and validation

Course materials from the 2015 de novo course.

Keywords: Earlham Institute

Genome assembly and validation https://tess.elixir-europe.org/materials/genome-assembly-and-validation Course materials from the 2015 de novo course. Earlham Institute
Data QC and preparation

Course materials from the data QC and preparation course.

Keywords: Earlham Institute

Data QC and preparation https://tess.elixir-europe.org/materials/data-qc-and-preparation Course materials from the data QC and preparation course. Earlham Institute
A simple genome assembly

Course materials from the 2015 De Novo course.

Keywords: Earlham Institute

A simple genome assembly https://tess.elixir-europe.org/materials/a-simple-genome-assembly Course materials from the 2015 De Novo course. Earlham Institute
First pass assembly and QC

Course materials from the 2015 De Novo course.

Keywords: Earlham Institute

First pass assembly and QC https://tess.elixir-europe.org/materials/first-pass-assembly-and-qc Course materials from the 2015 De Novo course. Earlham Institute
Sequencing Technologies

Course materials from the 2015 de novo course.

Scientific topics: Sequencing

Keywords: De Novo, Earlham Institute

Sequencing Technologies https://tess.elixir-europe.org/materials/sequencing-technologies Course materials from the 2015 de novo course. Sequencing De Novo, Earlham Institute
SeqAhead: NGS current challenges and data analysis for plant researchers

Complete course materials from the 2014 NGS course.

Keywords: next generation sequencing, Earlham Institute

SeqAhead: NGS current challenges and data analysis for plant researchers https://tess.elixir-europe.org/materials/seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers Complete course materials from the 2014 NGS course. next generation sequencing, Earlham Institute