An open source platform for analyzing and sharing worm behavior data
| Autor: | Chee Wai Lee, Michael Currie, André Ex Brown, Eviatar Yemini, Avelino Javer, Ellen A. A. Nollen, Rex Kerr, Jim Hokanson, Quee-Lim Ch'ng, Chris Li, Laura J Grundy, Celine N. Martineau, William R Schafer, Kezhi Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Biochemistry & Molecular Biology Genotype Computer science Annelida Information Dissemination ELEGANS Biochemistry Biochemical Research Methods Article User-Computer Interface 03 medical and health sciences 0302 clinical medicine Resource (project management) Software 10 Technology Animals Animal behavior Molecular Biology 030304 developmental biology 0303 health sciences Internet Science & Technology Behavior Animal business.industry Computational Biology 11 Medical And Health Sciences Cell Biology 06 Biological Sciences Data science Method development Data set Data sharing 030104 developmental biology Open source 13. Climate action The Internet business Life Sciences & Biomedicine 030217 neurology & neurosurgery Developmental Biology Biotechnology |
| Zdroj: | Nature Methods, 15(9), 645-646. Nature Publishing Group |
| ISSN: | 1548-7105 |
| DOI: | 10.1101/377960 |
| Popis: | 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 scientists1. 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. |
| Databáze: | OpenAIRE |
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