Software development portfolio

HMGCR GENE SNP Analysis Platform


We have successfully delivered tailored solutions to the National Institute of Biotechnology, addressing their critical research program needs. We designed and implemented a customized database system complemented by a user-friendly web interface, empowering researchers to effortlessly input raw sample data obtained from participants. To enhance the research process further, we also developed a robust backend system capable of analyzing the sample data and generating detailed PDF reports for comprehensive analysis and secure storage. Throughout the development, we maintained a stringent quality control process, ensuring that the solutions adhere to the highest standards of performance, security, and user experience. Our collaboration has culminated in cutting-edge tools that amplify the institute's research capabilities and drive scientific advancement.


Dashboard UI of the Gene SNP Analysis platform

Key Features

  • Bespoke Database System

  • The product includes a tailor-made database system designed specifically for the clients research program.
  • PDF Report Generation

  • The product facilitates the generation of detailed PDF reports based on the analyzed sample data.
  • Access Control and Security

  • The platform incorporates robust login control and security measures. This ensures that access to sensitive research data and functionalities is tightly controlled and protected from unauthorized access.
  • Powerful Backend System

  • The product incorporates a robust backend system capable of performing data analysis on the collected samples
  • User-Friendly Web Interface

  • With an intuitive and accessible interface, researchers can easily input and manage data without the need for complex technical knowledge.
Data entry form of the Gene SNP Analysis platform

Data entry form of the Gene SNP Analysis platform

Project Details

  • Category: Web Application
  • Client: National Institute of Biotechnology
  • Status: Complete
  • Year: 2021
  • Keywords: GENE, Research, Analysis

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