Workflows
What is a Workflow?Filters
PacBio HiFi genome assembly using hifiasm v2.1
General usage recommendations
Please see the Genome assembly with hifiasm on Galaxy Australia guide.
See change log
Acknowledgements
The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...
Purge-duplicates-from-hifiasm-assembly
General recommendations for using Purge-duplicates-from-hifiasm-assembly
Please see the Genome assembly with hifiasm on Galaxy Australia
guide.
Acknowledgements
The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...
BAM-to-FASTQ-QC
General recommendations for using BAM-to-FASTQ-QC
Please see the Genome assembly with hifiasm on Galaxy Australia
guide.
Acknowledgements
The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian Research Data Commons (https://doi.org/10.47486/PL105) ...
ChIP-seq paired-end Workflow
Inputs dataset
- The workflow needs a single input which is a list of dataset pairs of fastqsanger.
Inputs values
- adapters sequences: this depends on the library preparation. If you don't know, use FastQC to determine if it is Truseq or Nextera.
- reference_genome: this field will be adapted to the genomes available for bowtie2.
- effective_genome_size: this is used by MACS2 and may be entered manually (indications are provided for heavily used genomes).
...
IndexReferenceFasta-nf
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This workflow can be used to fit dose-response curves from normalised cell-based assay data (%confluence) using the KNIME HCS extension. The workflow expects triplicates for each of eight test concentrations. This workflow needs R-Server to run in the back-end. Start R and run the following command: library(Rserve); Rserve(args = "--vanilla"). Three types of outliers can be removed: 1 - Outliers from triplicate measurement (standard deviation cut-off can be selected), 2 - inactive and weekly ...
This workflow can be used to fit dose-response curves from normalised biochemical assay data (%Inhibition) using the HCS extension. This workflow needs R-Server to run in the back-end. Start R and run the following command: library(Rserve); Rserve(args = "--vanilla") IC50 values will not be extrapolated outside the tested concentration range For activity classification the following criteria are applied:
- maximum (average % inhibion) >25 % and slope is >0 and IC50 > 5 µM or
- minimum ...
Generates Dose-response curve fits on cell-based toxicity data. Outliers of replicate data-sets can be removed by setting a threshold for standard deviation (here set to 25). Curve fits for compounds showing low response can be removed by setting a threshold for minimum activity (here set to 75% confluence). This workflow needs R-Server to run in the back-end. Start R and run the following command: library(Rserve); Rserve(args = "--vanilla")
Type: Common Workflow Language
Creators: Pjotr Prins, Andrea Guarracino, Peter Amstutz, Thomas Liener, Adam M. Novak, Bonface Munyoki, Tazro Inutano, Michael Heuer, Michael R. Crusoe, Stian Soiland-Reyes
Submitter: Michael R. Crusoe
StructuralVariants Workflow
Type: Nextflow
Creators: Laura Rodriguez-Navas, Adrián Muñoz-Civico, Daniel López-López
Submitter: Laura Rodriguez-Navas