Workflows

Second part of the ecoregionalization

This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.

The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...

Part 1 of ecoregionalization workflow

This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.

The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...

Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA

This portion of the workflow produces sets of feature Counts ready for analysis by limma/etc.

Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA

This workflow is created as part of a tutorial listed on GTN. The workflow shows the steps in human copy number variance detection using the Contrl_FREEC tool.

Genome-wide alternative splicing analysis v.2

Abstract CWL Automatically generated from the Galaxy workflow file: Copy of Genome-wide alternative splicing analysis

This workflow correspond to the Genome-wide alternative splicing analysis training. It allows to analyze isoform switching by making use of IsoformSwitchAnalyzeR.

To discover causal mutations of inherited diseases it’s common practice to do a trio analysis. In a trio analysis DNA is sequenced of both the patient and parents. Using this method, it’s possible to identify multiple inheritance patterns. Some examples of these patterns are autosomal recessive, autosomal dominant, and de-novo variants, which are represented in the figure below. To elaborate, the most left tree shows an autosomal dominant inhertitance pattern where the offspring inherits a faulty ...