Web Solution for Processing and Visualizing Mass-Spectrometry Data and Protein Peptides Identified in Cancer Patients

Authors

  • Mohammed N. Khudher Dep. of Computer Science - University of Zakho - Duhok, Iraq
  • Karwan Jacksi Dep. of Computer Science - University of Zakho - Duhok, Iraq
  • Husen M. Umer Dep. of Oncology-Pathology Science for Life Laboratory -Karolinska Institute - Stockholm, Sweden

Keywords:

Mass Spectrometry, Proteomics, Cancer, Web-Based Solution, Data Processing, Data Visualization, Network Visualization, Peptides, Protein Identification

Abstract

This paper addresses the critical problem of processing and visualizing mass spectrometry data and protein peptides identified in cancer patients. The growing volume of data produced by advanced technologies, such as mass spectrometry, has necessitated the development of computer systems capable of effectively storing, analyzing, and presenting this data. In response to this challenge, a web-based solution is presented that empowers researchers and clinicians to gain valuable insights through network visualization of peptides and their associated data points across various cancer types and patient cohorts. By leveraging the power of Laravel on PHP 8, this system provides a robust foundation for efficient data processing and management. Additionally, the integration of an API enables seamless communication with a TypeScript and React-based front-end, resulting in an engaging and interactive user experience. The platform's ability to present the complex relationships between protein peptides and cancer-specific data in a network visualization format offers a powerful tool for researchers and clinicians to explore and interpret the data effectively. The development of this web-based solution contributes to the advancement of proteomics research and holds great potential for improving cancer treatment outcomes. By facilitating the exploration and analysis of mass spectrometry data and protein peptides, the system enables researchers to uncover valuable patterns and insights that can inform the development of more effective treatments for cancer patients. Through this work, a meaningful impact in the field of cancer research is strived for by us, and a valuable resource for the scientific community is provided.

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Published

16.07.2023

How to Cite

Khudher, M. N. ., Jacksi, K. ., & Umer, H. M. . (2023). Web Solution for Processing and Visualizing Mass-Spectrometry Data and Protein Peptides Identified in Cancer Patients. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 1005–1019. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3355

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Vol. 11 No. 3 (2023)

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Research Article

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