10.5281/zenodo.5038628
https://zenodo.org/records/5038628
oai:zenodo.org:5038628
Yang, Jeremy
Jeremy
Yang
0000-0002-1476-6192
University of New Mexico
Cannon, Daniel
Daniel
Cannon
Iterative Consulting, LLC
Bologa, Cristian
Cristian
Bologa
University of New Mexico
Mathias, Stephen
Stephen
Mathias
University of New Mexico
Jensen, Lars Juhl
Lars Juhl
Jensen
Novo Nordisk Foundation Center for Protein Research
Schürer, Stephan
Stephan
Schürer
University of Miami
Vidović, Dušica
Dušica
Vidović
University of Miami
Oprea, Tudor
Tudor
Oprea
University of New Mexico
TIN-X v2: modernized architecture with REST API for sustainability & interoperability
Zenodo
2019
text mining
drug discovery
illuminating the druggable genome
2019-02-26
Poster
10.5281/zenodo.5038627
Creative Commons Attribution 4.0 International
TIN-X is designed to prioritize and visualize associations between proteins and diseases, from scientific literature (PubMed) text mining by JensenLab, via TCRD, and organized by Drug Target Ontology (DTO) based disease and protein classifications. TIN-X was initially conceived and prototyped by Cristian Bologa, then engineered as a full stack webapp by Daniel Cannon, deployed via AWS. Motivated by its success and perceived value to researchers, TIN-X has been continually maintained, updated, and improved. Recently, TIN-X has undergone a major revision to version 2.0, designed and implemented by Iterative Consulting, LLC, co-founded by Daniel Cannon. The new architecture conforms to modern software engineering standards, includes a Swagger/Django REST API, D3 thin client, and tight integration with TCRD. Updates and deployment automation employs Docker and AWS (EC2, S3, CloudFront). Source code is managed via Bitbucket and GitHub. The improvements address the Resource Sharing Plan of KMC, and NIH policies and principles concerning digital resource sharing (e.g. FAIR) as emphasized by the NIH Strategic Plan for Data Science.