Title |
PyXNAT: XNAT in Python
|
---|---|
Published in |
Frontiers in Neuroinformatics, January 2012
|
DOI | 10.3389/fninf.2012.00012 |
Pubmed ID | |
Authors |
Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline |
Abstract |
As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages to automate data management and processing tasks. For this, a structured and programmatic access to the data store is necessary. Web services are a first step toward this goal. They however lack in functionality and ease of use because they provide only low-level interfaces to databases. We introduce here PyXNAT, a Python module that interacts with The Extensible Neuroimaging Archive Toolkit (XNAT) through native Python calls across multiple operating systems. The choice of Python enables PyXNAT to expose the XNAT Web Services and unify their features with a higher level and more expressive language. PyXNAT provides XNAT users direct access to all the scientific packages in Python. Finally PyXNAT aims to be efficient and easy to use, both as a back-end library to build XNAT clients and as an alternative front-end from the command line. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
United States | 2 | 3% |
France | 2 | 3% |
Latvia | 1 | 1% |
Brazil | 1 | 1% |
Germany | 1 | 1% |
Canada | 1 | 1% |
Netherlands | 1 | 1% |
Japan | 1 | 1% |
Other | 1 | 1% |
Unknown | 62 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 27% |
Student > Ph. D. Student | 13 | 17% |
Student > Master | 10 | 13% |
Other | 7 | 9% |
Student > Bachelor | 6 | 8% |
Other | 13 | 17% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 20% |
Engineering | 13 | 17% |
Medicine and Dentistry | 9 | 12% |
Agricultural and Biological Sciences | 7 | 9% |
Neuroscience | 6 | 8% |
Other | 15 | 20% |
Unknown | 10 | 13% |