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4 materials found

Operations: RNA-Seq analysis  or Standardisation and normali... 


Semantic Standards

This training module provides an introduction on the key semantic standards used within SPHN.

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Standardisation and normalisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD

Resource type: Video, Training materials, E-learning

Semantic Standards http://tess.elixir-uk.org/materials/semantic-standards This training module provides an introduction on the key semantic standards used within SPHN. Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Introduction to Workflows with Common Workflow Language

Introduction to workflow thinking for novices, using the Common Workflow Language

Scientific topics: Workflows

Operations: RNA-Seq analysis

Keywords: cwl, commonwl, sciworkflows, workflows

Resource type: Carpentries style curriculum

Introduction to Workflows with Common Workflow Language http://tess.elixir-uk.org/materials/introduction-to-workflows-with-common-workflow-language Introduction to workflow thinking for novices, using the Common Workflow Language Stian Soiland-Reyes Toby Hodges Sehrish Kanwal Pedro L Fernandes Workflows cwl, commonwl, sciworkflows, workflows esearchers and research software engineers who would like to begin automating their analyses in workflows.
Tutorial on CARNIVAL

This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL

Scientific topics: RNA-Seq, Omics, Gene expression, Molecular interactions, pathways and networks

Operations: RNA-Seq analysis, Network analysis

Keywords: HPC, Signaling, RNAseq, transcriptomics

Resource type: Tutorial

Tutorial on CARNIVAL http://tess.elixir-uk.org/materials/tutorial-on-carnival This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL RNA-Seq Omics Gene expression Molecular interactions, pathways and networks HPC, Signaling, RNAseq, transcriptomics
Plant Phenotyping Data managment Webinar (MIAPPE)

The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking...

Scientific topics: Data submission, annotation, and curation, Data quality management, Phenomics, Plant biology

Operations: Standardisation and normalisation

Resource type: Video, Slides

Plant Phenotyping Data managment Webinar (MIAPPE) http://tess.elixir-uk.org/materials/plant-phenotyping-data-managment-webinar-miappe The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples. The recording is available [here](https://youtu.be/4FOQPAWl6_M) and the slides are [here](https://drive.google.com/file/d/1FORlCX662T9dxiG4uzQwVXDXnq-sP0FP/view?usp=sharing) Cyril Pommier Anne-Françoise Adam-Blondon Célia Michotey Data submission, annotation, and curation Data quality management Phenomics Plant biology Researchers Biologists, Genomicists, Computer Scientists Biologists software developers, bioinformaticians