Workflows
What is a Workflow?Filters
dada2 amplicon analysis for paired end data
The workflow has three main outputs:
- the sequence table (output of makeSequenceTable)
- the taxonomy (output of assignTaxonomy)
- the counts which allow to track the number of sequences in the samples through the steps (output of sequence counts)
The workflow takes raw ONT reads and trimmed Illumina WGS paired reads collections, the ONT raw stats table (calculated from WF1) and the estimated genome size (calculated from WF1) to run NextDenovo and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).
The workflow takes raw ONT reads and trimmed Illumina WGS paired reads collections, and the estimated genome size and Max depth (both calculated from WF1) to run Flye and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).
score-assemblies
A Snakemake-wrapper for evaluating de novo bacterial genome assemblies, e.g. from Oxford Nanopore (ONT) or Illumina sequencing.
The workflow includes the following programs:
...
ont-assembly-snake
A Snakemake wrapper for easily creating de novo bacterial genome assemblies from Oxford Nanopore (ONT) sequencing data, and optionally Illumina data, using any combination of read filtering, assembly, long and short read polishing, and reference-based polishing.
Included programs
read filtering | assembly | long read polishing | short read polishing | reference-based polishing |
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Filtlong | ||||
... |
This project is about the automated quantification of wound healing in high-throughput microscopy scratch assays.
Lysozyme in water full COMPSs application run at MareNostrum IV, using full dataset with two workers
PyCOMPSs implementation of Probabilistic Tsunami Forecast (PTF). PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Run of the Kos-Bodrum 2017 event test-case with 1000 scenarios, 8h tsunami simulation for each and forecast calculations for partial and full ensembles with focal mechanism and tsunami data updates.
Type: COMPSs
Creators: Louise Cordrie, Jorge Ejarque, Carlos Sánchez Linares, Jacopo Selva, Jorge Macías, Steven J. Gibbons, Fabrizio Bernardi, Roberto Tonini, Rosa M. Badia, Sonia Scardigno, Stefano Lorito, Finn Løvholt, Fabrizio Romano, Manuela Volpe, Alessandro D'Anca, Marc de la Asunción, Manuel J. Castro
Submitter: Jorge Ejarque
PyCOMPSs implementation of Probabilistic Tsunami Forecast (PTF). PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Run of the Boumerdes-2003 event test-case with 1000 scenarios, 8h tsunami simulation for each and forecast calculations for partial and full ensembles with focal mechanism and tsunami data updates.
Type: COMPSs
Creators: Louise Cordrie, Jorge Ejarque, Carlos Sánchez Linares, Jacopo Selva, Jorge Macías, Steven J. Gibbons, Fabrizio Bernardi, Roberto Tonini, Rosa M. Badia, Sonia Scardigno, Stefano Lorito, Finn Løvholt, Fabrizio Romano, Manuela Volpe, Alessandro D'Anca, Marc de la Asunción, Manuel J. Castro
Submitter: Jorge Ejarque
Molecular Structure Checking using BioExcel Building Blocks (biobb)
This tutorial aims to illustrate the process of checking a molecular structure before using it as an input for a Molecular Dynamics simulation. The workflow uses the BioExcel Building Blocks library (biobb). The particular structure used is the crystal structure of human Adenylate Kinase 1A (AK1A), in complex with the AP5A inhibitor (PDB code 1Z83).
**Structure ...