This is quick start-up guide for new users of Pathomx. Following it should give you everything that you need to know to start using Pathomx right away. Once you’ve been through the basics you might like to see some of the demos to see what Pathomx is capable of ...
Introducing PyQtConfig: a simple API for handling, persisting and synchronising configuration within PyQt applications. This module was built initially as part of the Pathomx data analysis platform but spun out into a standalone module when it became clear it was quite useful. This post gives a brief overview of the ...
Pathomx is a workflow-based data analysis tool built on IPython. It began as a metabolomic-analysis toolkit, but has extended to support general data analysis workflows. It aims to be simple to use for non-experts while powerful enough for complex analysis tasks. Key to both of these goals is the ability ...
Pathomx v3.0.2 has been released for both Windows and MacOS X. This marks the first stable, bug-fixed release for the v3.0 line featuring the new IPython-kernel with cluster support for parallel processing of tools.
The final release candidate for Pathomx v3.0.0 is available for both Mac and Windows. This latest version features the new IPython backend providing parallel processing (via IPython ipcluster support), numerous bugfixes and improvements to the UI and figure outputs. While a development version it is considered stable enough for regular use. If you’re a current user of Pathomx, please download and test with your own hardware and data, see how it holds up and then report any problems!
A development version of Pathomx v3.0.0-alpha4 is now available as a installable app for Mac. This latest version showcases the new IPython backend, with notebooks and reports.
My pull-request for matplotlib to add PyQt5 support has been accepted and merged, meaning PyQt5 support will be available in the upcoming v1.4.0 release of matplotlib.
A new developer release of Pathomx (v3.0.0a) is out today via Github and PyPi. This release brings an IPython backend and support for IPython-notebook based plugins.
Another Python module released today. MetaboHunter is a Python module for accessing the MetaboHunter web service for automated assignment of 1D raw, bucketed or peak picked NMR spectra.
Today I’ve released Python module BioCyc that provides an interface to the BioCyc Web API. Acting as a wrapper it queries the database and then presents the XML returned in a pythonic object-based interface. Support for IPython views is included offering nice summary tables of object attributes.
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