Abstract

Animal behavior is increasingly being recorded in systematic imaging studies that generate large data sets. To maximize the usefulness of these data there is a need for improved resources for analyzing and sharing behavior data that will encourage re-analysis and method development by computational scientists. However, unlike genomic or protein structural data, there are no widely used standards for behavior data. It is therefore desirable to make the data available in a relatively raw form so that different investigators can use their own representations and derive their own features. For computational ethology to approach the level of maturity of other areas of bioinformatics, we need to address at least three challenges: storing and accessing video files, defining flexible data formats to facilitate data sharing, and making software to read, write, browse, and analyze the data. We have developed an open resource to begin addressing these challenges using worm tracking as a model.

Details

Title
An open source platform for analyzing and sharing worm behavior data
Author
Javer, Avelino; Currie, Michael; Lee, Chee Wai; Hokanson, Jim; Li, Kezhi; Martineau, Celine N; Yemini, Eviatar; Grundy, Laura J; Li, Chris; Chng, Queelim; Schafer, William R; Ellen Aa Nollen; Kerr, Rex; Andre Ex Brown
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2018
Publication date
Jul 26, 2018
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2076575500
Copyright
�� 2018. This article is published under http://creativecommons.org/licenses/by/4.0/ (���the License���). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.