BigOmics offers the Omics Playground, an interactive platform that enables biologists to conduct RNA-Seq and proteomics data analysis using over 18 analysis modules and 150 interactive visualizations. This solution addresses the inefficiencies in bioinformatics workflows by allowing researchers to perform complex analyses independently, significantly reducing time spent on data handover and increasing collaboration effectiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Current bioinformatics workflows often involve inefficient data handover between biologists and bioinformaticians, leading to delays and hindering effective collaboration. Researchers also face challenges in independently performing complex analyses and visualizing omics data in an interactive manner.
Solution
BigOmics offers the Omics Playground, a platform designed to streamline RNA-Seq and proteomics data analysis, enabling biologists and bioinformaticians to conduct complex analyses independently. The platform provides over 18 analysis modules and more than 150 interactive visualizations, facilitating efficient data exploration and interpretation. By centralizing omics data analysis, Omics Playground reduces the time spent on data handover, increases collaboration effectiveness, and empowers researchers to gain insights directly from their data. The platform also supports co-analysis with thousands of public datasets and gene sets, enhancing the discovery process.
Target Audience
The primary users are biologists and bioinformaticians in research institutes, biotech companies, and pharmaceutical organizations who require efficient and collaborative omics data analysis solutions.
Features
- Interactive platform for RNA-Seq and proteomics data analysis
- 18+ analysis modules and 150+ interactive plots for data visualization
- Co-analysis capabilities with 6000+ public datasets
- Integration of 50,000+ public gene sets and pathways (GO, Reactome, Hallmark, MsigDB)
- Drug connectivity and drug sensitivity databases with 30,000+ drug expression profiles
- Best-in-class methods and algorithms for robust and reproducible results