Workflows
What is a Workflow?Filters
This publication corresponds to the Research Objects (RO) of the Baseline Use Case proposed in T.5.2 (WP5) in the BY-COVID project on “COVID-19 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection”.
Type: Quarto Markdown
Creators: Enrique Bernal-Delgado, Nina Van Goethem, Francisco Estupiñan-Romero, Marjan Meurisse, Javier González Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra
Submitter: Marjan Meurisse
CoCoMiCo analyses on collections of simulated communities. Community: scatterplots and KW tests of cooperation and competition potentials, for each collection. Similarity: cooperation and competition potentials vs model similarity, defined as the Jaccard distance on sets of reactions. Added value: boxplots comparing the added value of models in communities.
Lysozyme in water full COMPSs application
Lysozyme in water full COMPSs application, using dataset_small
Lysozyme in water full COMPSs application
deepconsensus 1.2 snakemake pipeline
This snakemake-based workflow takes in a subreads.bam and results in a deepconsensus.fastq
- no methylation calls !
The metadata id of the subreads file needs to be: "m[numeric][numeric][numeric].subreads.bam"
Chunking (how many subjobs) and ccs min quality filter can be adjusted in the config.yaml
the checkpoint model for deepconsensus1.2 should be accessible like this: gsutil cp -r gs://brain-genomics-public/research/deepconsensus/models/v1.2/model_checkpoint/* ...
The second-level complexity workflow is one among a collection of workflows designed to address tasks up to CTF estimation. In addition to the functionalities provided by the layer 0 workflow, this workflow aims to enhance the quality of acquisition images using quality protocols.
Quality control protocols
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Movie max shift: automatic reject those movies whose frames move more than a given threshold.
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Tilt analysis: quality score based in the Power Spectrum Density (astigmatism and ...
SPA workflow using cryosparc processing engine
The simplest workflow among a collection of workflows intended to solve tasks up to CTF estimation.
Name: KMeans Contact Person: support-compss@bsc.es Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum5
KMEans for clustering the housing.csv dataset (https://github.com/sonarsushant/California-House-Price-Prediction/blob/master/housing.csv). This application used dislib-0.9.0