NoMaze provides a data visualization platform that allows plant breeders to import, customize, and analyze genomic and phenotypic data from Excel or CSV files, facilitating interactive exploration of breeding candidates. This tool addresses the complexity of data interpretation in plant breeding, enabling users to streamline their workflows and enhance decision-making without requiring extensive technical expertise.
Funding
Funding not disclosed
Founders
Product
Problem
Plant breeders face challenges in efficiently managing and interpreting large datasets of genomic and phenotypic information, which are often stored in standard formats like Excel or CSV. Existing database systems can be complex and require manual steps, hindering effective data interpretation and decision-making in breeding programs. This complexity limits the accessibility of advanced technologies like genetic prediction and machine learning for small and medium-sized enterprises (SMEs).
Solution
NoMaze is a web-based data visualization platform designed to streamline the analysis of genomic and phenotypic data for plant breeders. The platform allows users to import data from Excel or CSV files and interactively explore breeding candidates through customizable pipelines. By lowering the access barrier to data analysis, NoMaze empowers plant scientists and breeders to focus on discovering the best pedigrees. The platform integrates with existing databases and reduces manual steps, making data interpretation more efficient and decision-making more effective.
Target Audience
The primary target audience includes plant breeders in SMEs and research institutions who need to analyze phenotypic and genomic data to identify optimal breeding candidates.
Features
- Interactive data exploration with mouse-driven controls
- Customizable pipelines to adapt to specific workflows
- Support for both long and wide data formats, accommodating up to 2 million rows
- Real-time collaboration through shareable links
- Preconfigured visualizations tailored for phenotypic data analysis
- Integration with existing databases
- Ability to create live dashboards with up-to-date insights
- Capability to develop new blocks and templates for custom analyses