Phenobook
Phenobook manages collection, registration, processing, visualization, and export of phenotypic data for research projects, including field experiments and multi-location/time-series studies.
Key Features:
- Server software: Supports experiment design, data input/registration, data processing, visualization, and exportation on a central server.
- Mobile application: Enables remote field data collection with synchronization to the server.
- Structured data capture: Enforces field-level data registration to reduce errors introduced during manual entry.
- Data visualization: Provides visualization of collected phenotypic observations on the server.
- Data export: Exports collected data for downstream analysis, enabling continuity from collection to analysis.
- Multi-location and time-series support: Handles observations collected across diverse locations and time points.
Scientific Applications:
- Field experiments: Collection and management of phenotypic observations in field-based studies.
- Phenotypic data management: Centralized registration, processing, visualization, and exportation of phenotypic datasets for research projects.
- Multi-site and longitudinal studies: Management of phenotypic observations across multiple locations and time points.
- Collaborative research projects: Consolidation of phenotypic data contributed by multiple researchers into a central dataset.
Methodology:
Server-side experiment design, data input/registration, data processing, visualization, and exportation combined with a mobile application for remote data collection and synchronization.
Topics
Details
- Tool Type:
- api
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP, SQL
- Added:
- 7/21/2018
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Gene expression analysis
Inputs
Outputs
Publications
Crescente JM, Guidobaldi F, Demichelis M, Formica MB, Helguera M, Vanzetti LS. Phenobook: an open source software for phenotypic data collection. GigaScience. 2017;6(4). doi:10.1093/gigascience/giw019. PMID:28327910. PMCID:PMC5530315.