Company strategies for using bioinformatics

Area of Science:

• Biotechnology and Bioinformatics

Background:

• The increasing volume of experimental and public genomic data is overwhelming traditional "guru"-based bioinformatics support in biotechnology companies.
• Existing bioinformatics systems struggle to cope with the data deluge, necessitating a shift in approach.

Purpose of the Study:

• To review the evolution of corporate bioinformatics from a "guru" model to more robust, professional, and scalable systems.
• To highlight the critical role of biologists in shaping bioinformatics solutions.
• To frame the challenges of corporate bioinformatics as problems for computer professionals.

Main Methods:

• Review of current trends and organizational structures in corporate bioinformatics.
• Analysis of the data management and accessibility challenges faced by biotechnology firms.
• Discussion of the integration of biological expertise into bioinformatics system design.

Main Results:

• Biotechnology companies are moving beyond "guru"-based support by acquiring or developing advanced bioinformatics resources.
• The need for robust, professional, and expandable systems is paramount for effective data analysis.
• Biologists must be central to the development and implementation of bioinformatics tools.

Conclusions:

• The "guru" model of corporate bioinformatics is unsustainable due to data growth.
• Effective bioinformatics requires integrated systems that empower biologists and are supported by computer professionals.
• Future bioinformatics solutions must be scalable, professional, and biologist-centric.