Back to Search
Start Over
A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository
- Source :
- Metabolomics
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Introduction The Metabolomics Workbench Data Repository is a public repository of mass spectrometry and nuclear magnetic resonance data and metadata derived from a wide variety of metabolomics studies. The data and metadata for each study is deposited, stored, and accessed via files in the domain-specific ‘mwTab’ flat file format. Objectives In order to improve the accessibility, reusability, and interoperability of the data and metadata stored in ‘mwTab’ formatted files, we implemented a Python library and package. This Python package, named ‘mwtab’, is a parser for the domain-specific ‘mwTab’ flat file format, which provides facilities for reading, accessing, and writing ‘mwTab’ formatted files. Furthermore, the package provides facilities to validate both the format and required metadata elements of a given ‘mwTab’ formatted file. Methods In order to develop the ‘mwtab’ package we used the official ‘mwTab’ format specification. We used Git version control along with Python unit-testing framework as well as continuous integration service to run those tests on multiple versions of Python. Package documentation was developed using sphinx documentation generator. Results The ‘mwtab’ package provides both Python programmatic library interfaces and command-line interfaces for reading, writing, and validating ‘mwTab’ formatted files. Data and associated metadata are stored within Python dictionary- and list-based data structures, enabling straightforward, ‘pythonic’ access and manipulation of data and metadata. Also, the package provides facilities to convert ‘mwTab’ files into a JSON formatted equivalent, enabling easy reusability of the data by all modern programming languages that implement JSON parsers. The ‘mwtab’ package implements its metadata validation functionality based on a pre-defined JSON schema that can be easily specialized for specific types of metabolomics studies. The library also provides a command-line interface for interconversion between ‘mwTab’ and JSONized formats in raw text and a variety of compressed binary file formats. Conclusions The ‘mwtab’ package is an easy-to-use Python package that provides FAIRer utilization of the Metabolomics Workbench Data Repository. The source code is freely available on GitHub and via the Python Package Index. Documentation includes a ‘User Guide’, ‘Tutorial’, and ‘API Reference’. The GitHub repository also provides ‘mwtab’ package unit-tests via a continuous integration service. Electronic supplementary material The online version of this article (10.1007/s11306-018-1356-6) contains supplementary material, which is available to authorized users.
- Subjects :
- 0301 basic medicine
Documentation generator
Source code
Flat file database
Computer science
Endocrinology, Diabetes and Metabolism
media_common.quotation_subject
Clinical Biochemistry
mwTab
Information repository
computer.software_genre
01 natural sciences
Biochemistry
Metabolomics Workbench
03 medical and health sciences
FAIR
media_common
computer.programming_language
Data validation
mwtab Python package
Programming language
010401 analytical chemistry
Python (programming language)
Data structure
JSON
0104 chemical sciences
Metadata
030104 developmental biology
Software/Database
computer
Subjects
Details
- ISSN :
- 15733890 and 15733882
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Metabolomics
- Accession number :
- edsair.doi.dedup.....ff8970359aada8ce893c0c0f6d8d238d