Journal article
Intent Parser: A Tool for Codification and Sharing of Experimental Design
ACS synthetic biology, Vol.11(1), pp.502-507
01/21/2022
DOI: 10.1021/acssynbio.1c00285
PMID: 34882380
Abstract
Communicating information about experimental design among a team of collaborators is challenging because different people tend to describe experiments in different ways and with different levels of detail. Sometimes, humans can interpret missing information by making assumptions and drawing inferences from information already provided. Doing so, however, is error-prone and typically requires a high level of interpersonal communication. In this paper, we present a tool that addresses this challenge by providing a simple interface for incremental formal codification of experiment designs. Users interact with a Google Docs word-processing interface with structured tables, backed by assisted linking to machine-readable definitions in a data repository (SynBioHub) and specification of available protocols and requests for execution in the Open Protocol Interface Language (OPIL). The result is an easy-to-use tool for generating machine-readable descriptions of experiment designs with which users in the DARPA SD2 program have collected data from 80 208 samples using a variety of protocols and instruments over the course of 181 experiment runs.
Details
- Title: Subtitle
- Intent Parser: A Tool for Codification and Sharing of Experimental Design
- Creators
- Tramy Nguyen - RTXNicholas Walczak - RTXDaniel Sumorok - RTXMark Weston - Netrias, Arlington, VA 22201 USAJacob Beal - RTX
- Resource Type
- Journal article
- Publication Details
- ACS synthetic biology, Vol.11(1), pp.502-507
- Publisher
- Amer Chemical Soc
- DOI
- 10.1021/acssynbio.1c00285
- PMID
- 34882380
- ISSN
- 2161-5063
- eISSN
- 2161-5063
- Number of pages
- 6
- Grant note
- FA8750-17-C-0184; FA8750-17-C-0231 / DARPA; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA) Air Force Research Laboratory (AFRL); United States Department of Defense; US Air Force Research Laboratory
- Language
- English
- Date published
- 01/21/2022
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627212302771
Metrics
3 Record Views