Skip to main content
Warning: You are using the test version of PyPI. This is a pre-production deployment of Warehouse. Changes made here affect the production instance of TestPyPI (testpypi.python.org).
Help us improve Python packaging - Donate today!
Avatar for schultzm from gravatar.com

schultzm

  Joined on Feb 28, 2017

4 Projects

Pando

Last released on May 4, 2017

Pando is a bioinformatics tool for for exploring and characterising bacterial genome data. Input is paired-end reads and assemblies. Output is an NJ tree inferred from the assemblies (using Andi and Quicktree) and a table of results (species ID, mlst, antimicrobial resistance genes, plasmid replicon types, Virulence genes, read and assembly QC metrics). Github repo and issue tracker: https://github.com/schultzm/Pando/. Pypi repository: https://pypi.python.org/pypi/Pando_

pandoo

Last released on May 23, 2017

Pandoo is a bioinformatics tool for for exploring and characterising bacterial genome data. Input is paired-end reads and assemblies. Output is an NJ tree/dendrogram inferred from the assemblies (using mashtree) and a table of results (species ID, mlst, antimicrobial resistance genes, plasmid replicon types, virulence genes, etc., plus read and assembly QC metrics). Github repo and issue tracker: https://github.com/schultzm/pandoo/. Pypi repository: https://pypi.python.org/pypi/paando

pando_ruffus

Last released on Apr 20, 2017

Pando_ruffus is a bioinformatics tool for for exploring and characterising bacterial genome data. Input is paired-end reads and assemblies. Output is an NJ tree inferred from the assemblies (using Andi and Quicktree) and a table of results (species ID, mlst, antimicrobial resistance genes, plasmid replicon types, Virulence genes, read and assembly QC metrics). Github repo and issue tracker: https://github.com/schultzm/pando_ruffus/. Pypi repository: https://pypi.python.org/pypi/pando_ruffus

PRufus

Last released on May 4, 2017

PRufus is a bioinformatics tool for for exploring and characterising bacterial genome data. Input is paired-end reads and assemblies. Output is an NJ tree inferred from the assemblies (using Andi and Quicktree) and a table of results (species ID, mlst, antimicrobial resistance genes, plasmid replicon types, Virulence genes, read and assembly QC metrics). Github repo and issue tracker: https://github.com/schultzm/prufus/. Pypi repository: https://pypi.python.org/pypi/prufus

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting