Patent Data for Comparative Study: Case study of Top Aspirants in Bioinformatics Industry

Neha Mago, Nishad Deshpande


Innovation and technology are considered as a subject of success and achievement to the firm. The comparative study represents an essential procedure to identify the innovation and technological capabilities of major players involved in the bioinformatics related inventions. The aim of the research is to map out the top firms and identify their strategically important technologies. In view of this, the comparative analysis of major firms in bioinformatics industry is carried out using patent information. Herein the top three assignees are considered and based on this further analysis is performed. The top companies’ trend suggests that Thermo Fisher Scientific Inc. is the major player in bioinformatics research. Thus, we have tried to develop an overview on their patenting trend and important concerned areas of research. Also, our results indicate that the application of computational tools is being utilized for most of the research areas like the study of genomics and proteomics, sequence categorization and their structural prediction.


Patent; innovation; comparative advantage; company; bioinformatic; industry; computational

Full Text:



Afuah, A. (2002). Mapping technological capabilities into product markets and competitive advantage: the case of cholesterol drugs. Strategic Management Journal, 23(2), 171-179.

Chang, C. (2004). The Current Bioinformatics Analytical Software Landscape. DDW DRUG DISCOVERY WORLD, 5(3), 30-36.

Choi, S., Macalino, S. J., Cui, M., & Basith, S. (2016). Expediting the Design, Discovery, and Development of Anticancer Drugs using Computational Approaches. Current medicinal chemistry.

Chow, M., & Fernandez, D. (2001, October). Intellectual property strategy in bioinformatics. In Proceedings of the Virtual Conference on Genomics and Bioinformatics, North Dakota State University (pp. 15-16).

de Brevern, A. G., Meyniel, J. P., Fairhead, C., Neuvéglise, C., & Malpertuy, A. (2015). Trends in it innovation to build a next generation bioinformatics solution to manage and analyse biological big data produced by NGS technologies. BioMed research international, 2015.

Hong, S. (2007). The magic of patent information. World Intellectual Property Organization, www. wipo. int/sme/en/documents/patent_information. htm.

Katila, R. (2000). Using patent data to measure innovation performance. International Journal of Business Performance Management, 2(1-3), 180-193.

Ouzounis, C. A., & Valencia, A. (2003). Early bioinformatics: the birth of a discipline—a personal view. Bioinformatics, 19(17), 2176-2190.

Perez-Iratxeta, C., Andrade-Navarro, M. A., & Wren, J. D. (2007). Evolving research trends in bioinformatics. Briefings in Bioinformatics, 8(2), 88-95.

Santos, J. H. D. A., Zawislak, P. A., Franzoni, G. B., & Vieira, H. C. (2015). Searching for a Path: A Bibliometric study on Innovation and Technological Capabilities. International Journal of Innovation, 3(2), 54-66.


  • There are currently no refbacks.

Int. J. Innov. e-ISSN: 2318-9975

Rua Vergueiro, 235/249 - Liberdade, São Paulo - SP (Brasil), Cep: 01504-000

Licença Creative Commons
Este obra está licenciado com uma Licença 
Creative Commons Atribuição-NãoComercial-CompartilhaIgual 4.0 Internacional