A new live demo of Wooey is now up and running with a few simple example scripts. Features: Web UIs for Python scripts generated automatically from argparse An automated background worker to run scripts and collect outputs Run Queue to schedule (and prioritise) jobs Automatic rendering of viewable outputs, downloadable ... More
Wooey is a simple web interface (built on Flask) to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. Inspired by what Gooey can do, turning ArgumentParser-based command-line scripts into ... More
Pathomx Linux Developer Release 04.01.2015
A developer release of Pathomx (Python3) is now available. This release can be installed by using the ./developer_release_linux_python3.sh script from the cloned Github repository. This script installs all dependencies (via apt-get and pip) that are required for Pathomx to run. This developer release is an important first step to ... More
Background Metabolomics is a systems approach to the analysis of cellular processes through small-molecule metabolite profiling. Standardisation of sample handling and acquisition approaches has contributed to reproducibility. However, the development of robust methods for the analysis of metabolomic data is a work-in-progress. The tools that do exist are often not well integrated, requiring manual data handling and custom scripting on a case-by-case basis. Furthermore, existing tools often require experience with programming environments such as MATLAB® or R to use, limiting accessibility. Here we present Pathomx, a workflow-based tool for the processing, analysis and visualisation of metabolomic and associated data in an intuitive and extensible environment.
Results The core application provides a workflow editor, IPython kernel and a HumanCyc™-derived database of metabolites, proteins and genes. Toolkits provide reusable tools that may be linked together to create complex workflows. Pathomx is released with a base set of plugins for the import, processing and visualisation of data. The IPython backend provides integration with existing platforms including MATLAB® and R, allowing data to be seamlessly transferred. Pathomx is supplied with a series of demonstration workflows and datasets. To demonstrate the use of the software we here present an analysis of 1D and 2D 1H NMR metabolomic data from a model system of mammalian cell growth under hypoxic conditions.
Conclusions Pathomx is a useful addition to the analysis toolbox. The intuitive interface lowers the barrier to entry for non-experts, while scriptable tools and integration with existing tools supports complex analysis. We welcome contributions from the community.
Getting Started with Pathomx 08.12.2014
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 ... More
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. More
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 ... More
Pathomx v3.0.2 released 26.10.2014
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. More
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