Name: dpa-analysis
Owner: Notredame Lab
Description: Nextflow Pipeline for the analysis of Double Progressive Alignment (DPA)
Forked from: skptic/dpa-analysis
Created: 2017-07-11 15:15:13.0
Updated: 2017-07-11 15:15:15.0
Pushed: 2017-07-12 13:51:41.0
Homepage: null
Size: 1854
Language: Python
GitHub Committers
User | Most Recent Commit | # Commits |
---|
Other Committers
User | Most Recent Commit | # Commits |
---|
Make sure you have either docker/singularity installed or the required dependencies listed in the last section.
Install the Nextflow runtime by running the following command:
$ curl -fsSL get.nextflow.io | bash
When done, you can launch the pipeline execution by entering the command shown below:
$ nextflow run skptic/dpa-analysis
By default the pipeline is executed against the provided example dataset.
Check the Pipeline parameters section below to see how enter your data on the program
command line.
There are 4 running modes which are determined based on the provided input files.
Each mode can be run with the standard MSA proceedure, with the DPA proceesure or with both (see --dpa_align
and --std_align
).
Run multiple sequence alignment procedure with/without DPA.
inputs:
--seqs
argumentoutputs:
Run multiple sequence alignment procedure with/without DPA and score alignment against the reference alignment.
inputs:
--seqs
argument--refs
argumentoutputs:
Run basic multiple sequence alignment procedure with/without DPA with user provided guide trees in Newick format.
inputs:
--seqs
argument--trees
argumentoutputs:
Run basic multiple sequence alignment procedure with/without DPA with user provided guide trees in Newick format and scored against the reference alignment.
inputs:
--seqs
argument--refs
argument--trees
argumentoutputs:
--seqs
./tutorial/seqs/*.fa
Example:
$ nextflow run skptic/dpa-analysis --seqs '/home/seqs/*.fasta'
This will handle each fasta file as a seperate sample.