Intellectual property protection for bioinformatics and computational intelligence

Fernandez, Dennis; Maninang, Antonia; Kobayashi, Shumpei

doi:10.1109/cibcb.2013.6595385

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…There are three areas within bioinformatics [2]: (1) the development of new algorithms and statistics, (2) the analysis and interpretation of various types of data, and (3) the development and implementation of tools for accessing and managing information.…”

Section: Basics Of Bioinformaticsmentioning

confidence: 99%

A Primer on Bioinformatics

Adebo

2018

IJARCSSE

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Today biological research is experiencing explosive growth in academic, industry, and government sectors. Bioinformatics has emerged to make sense of such high volume and complex data. It is an interdisciplinary field that combines computer science, biology, engineering, and mathematics in order to develop methods, techniques, and tools for analyzing and interpreting biological data. It uses computational approaches to solve complex biological problems and analyze large-volume of biological data. This paper provides a primer on bioinformatics.

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Section: Basics Of Bioinformaticsmentioning

confidence: 99%

A Primer on Bioinformatics

Adebo

2018

IJARCSSE

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“…Bioinformatics also produced a plethora of business models, including those of companies collecting and licensing data, writing and licensing software and systems, selling products and services to perform testing, but also performing tests and creating stem cell databanks. Some of these technologies and business models can be patented (Gatto 2001;Fernandez et al 2013).…”

Section: The Biotech Revolution and Its Business Modelsmentioning

confidence: 99%

Relating business model innovations and innovation cascades: the case of biotechnology

Niosi

McKelvey

2018

J Evol Econ

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This article conceptualizes innovation as a process, where the scientific and industrial application of technological knowledge nurtures new routines and institutions, in order to relate changing business model innovations to innovation cascades. Innovation in science-based, high-tech sectors is changing its tempo, from the evolutionary pace of incremental novelties punctuated by occasional radical novelties, to innovation cascades. These cascades involve a long series of interlinked radical innovations, which can be traced through various scientific and technological indicators like patents and publications. Innovation cascades are relevant to industry, because they make the future less predictable. They are particularly interesting because these changes also enable the testing an abundance of new business models. Innovation cascades have a major impact on the number and sustainability of business models and on strategy. Business model innovations are visible not only in the existing organizations that undergo change, but also new organizational models appear. The case of biotechnology after the 1980s is used to illustrate our conceptualization.

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Intellectual Property Rights

Zafar¹

2020

EcoProduction

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Intellectual property protection for bioinformatics and computational intelligence

Cited by 3 publications

References 2 publications

A Primer on Bioinformatics

A Primer on Bioinformatics

Relating business model innovations and innovation cascades: the case of biotechnology

Intellectual Property Rights

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