Workflows
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COVID-19: variation analysis on WGS PE data
This workflows performs paired end read mapping with bwa-mem followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.
COVID-19: variation analysis on ARTIC PE data
The workflow for Illumina-sequenced ARTIC data builds on the RNASeq workflow for paired-end data using the same steps for mapping and variant calling, but adds extra logic for trimming ARTIC primer sequences off reads with the ivar package. In addition, this workflow uses ivar also to identify amplicons affected by ARTIC primer-binding site mutations and excludes reads derived from such "tainted" amplicons ...
- Name of the application: Adapter removal hello world
- Name of the application: Mapping and bam sorting goodbye world
1. Name of the application: Adapter removal hello world 2. Name of the application: Mapping and bam sorting goodbye world
Preprocessing of raw SARS-CoV-2 reads
The raw reads available so far are generated from bronchoalveolar lavage fluid (BALF) and are metagenomic in nature: they contain human reads, reads from potential bacterial co-infections as well as true COVID-19 reads.
Live Resources
usegalaxy.org | usegalaxy.eu | usegalaxy.org.au | usegalaxy.be |
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Summary
Jupyter Notebook containing a tutorial to illustrate the process of ligand parameterization for a small molecule, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Sulfasalazine protein (3-letter code SAS), used to treat rheumatoid arthritis, ulcerative colitis, and Crohn's disease.
OpenBabel and ACPype packages are used to add hydrogens, energetically minimize the structure, and generate parameters for the GROMACS package. With Generalized ...
This tutorial aims to illustrate the process of setting up a simulation system containing a protein in complex with a ligand, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the T4 lysozyme L99A/M102Q protein (PDB code 3HTB), in complex with the 2-propylphenol small molecule (3-letter Code JZ4).
Workflow engine is a jupyter notebook. It can be run in binder, following the link given, or locally. Auxiliar libraries used are: nb_conda_kernels, ...
This tutorial aims to illustrate the process of setting up a simulation system containing a protein, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Lysozyme protein (PDB code 1AKI).
Workflow engine is a jupyter notebook. It can be run in binder, following the link given, or locally. Auxiliar libraries used are: nb_conda_kernels, nglview, ipywidgets, plotly, and simpletraj. Environment can be setup using the included environment.yml file.