Metadata-Version: 2.1
Name: olivar
Version: 0.0.1
Summary: Olivar pipeline
Home-page: https://gitlab.com/treangen.lab/olivar
Author: Treangen Lab
Author-email: acd7+olivar@rice.edu
License: UNKNOWN
Description: # Olivar
        Olivar is an open source pipeline for comprehensive design of primer and probe sets for pathogen 
        sequences. Our pipeline relies on the state-of-the-art primer generating software, and incorporates 
        low frequency variant information to ensure robust sensitivity and specificity for rapidly evolving 
        pathogens. Additionally, our software provides visualization and validation capabilities to aid fast 
        evaluation of the output probe and primer sets.
        
        ### Install
        To use Olivar, simply clone the repository and ensure that the requrements below are installed and in the system path.
        
        ### Requirements
        * Biopython
        * Pandas
        * Jinja2
        * Parsnp
        * Primer3
        * Blast
        * MAFFT
        * PyVCF
        * pysam
        
        #### Additional requirements for simulation
        1.  Samtools
        2.  Minimap2
        3.  Bowtie2
        4.  Lofreq
        
        ### Usage
        To run Olivar and generate probes and primers for a set of sequences and a reference, 
        
        ```
        olivar /path/to/reference.fasta /path/to/input_genomes/ --email <your_email>
        ```
        
        If you have a set of read datasets you'd like to use to simulate more input data: 
        ```
        olivar /path/to/reference.fasta /path/to/input_genomes/ \
            --simulate /path/to/read_directories
            --csv      /path/to/read_metadata.csv
            --email <your_email>
        ```
        NCBI may throttle your blast queries if you only provide your email. If you have an API, you can provide that instead to have a higher allowance. Alternatively, you can supply a local blast database location via `--blastdb <database_location>`.
        
        You can skip the generation of primers by adding the `--probes-only` flag. Please see the `--help`
        documentation for more arguments.
        
        
        ### Output
        The final output reports are present in `output/final_report`. In `output`, intermediate directories 
        for the other modules' output is present as well.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
