The commercialization of bioinformatics

Jones, P.

doi:10.2225/vol3-issue2-fulltext-4

Cited by 10 publications

(8 citation statements)

References 56 publications

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“…The knowledge that is possible to acquire through the DM has been very useful in the most different areas, such as medicine, finances, commerce, marketing, telecommunications, meteorology, agriculture and cattle raising, bioinformatics, among others (2,(7)(8)(9)(10)(11) .…”

Section: Knowledge Discovery In Databasesmentioning

confidence: 99%

Técnica de mineração de dados: uma revisão da literatura

Galvão

Marin

2009

Acta paul. enferm.

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The purpose of this study was to conduct a literature review on data mining (DM) technique in the LILACS and SciELO databases and specialized books. A broad data literature search using the words data mining (in English) and/or "mineração de dados" (in Portuguese) and limited to publications between 1999 and 2008, was conducted. The exclusion criteria were the keywords mining industry, mines, mineralogy, and publications that did not describe the methods and the tasks related to data mining. Of 123 publications retrieved, 38 were selected to review. Findings suggest that the existent amount of stored data is titanic and it continue to increase considerably. Thus, the process of knowledge discovery in databases and DM have developed tasks and methods for the retrieval of useful knowledge that may be of interest and necessary for just-in-time decision making in different areas of knowledge. Keywords: Information storage and retrieval/methods; Pattern recognition, automated/methods; Knowledge bases Medical Informatics RESUMOEste artigo teve como objetivo realizar uma revisão da literatura sobre a técnica de mineração de dados (Data Mining -DM) nas bases de dados abrangendo o Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Scientific Eletronic Library Online (SCIELO) e alguns livros sobre o tema. Buscou-se uma coleta ampla utilizando as palavras data mining e mineração de dados, abrangendo o período de 1999 a 2008. Como critérios de exclusão foram utilizados os descritores: indústria mineira, minas, mineralogia; foram excluídos artigos que não esclareciam o método e as tarefas relacionadas à mineração de dados. Dos 123 artigos encontrados, 32 foram selecionados. Observou-se que o volume de dados armazenados é gigantesco e continua crescendo exponencialmente. Com isso o processo de Descoberta do Conhecimento em Bases de Dados e DM inclui tarefas e métodos para extração de conhecimento útil, interessante e indispensável na tomada de decisões rápidas nas mais diversas áreas de conhecimento. Descritores: Armazenamento e recuperação da informação/métodos; Reconhecimento automatizado de padrão/métodos; Bases de conhecimento; Informática médica RESUMENEn este artículo se tuvo como objetivo realizar una revisión de la literatura sobre la técnica de mineración de datos (Data Mining -DM) en las bases de datos que abarcaban la Literatura Latino-Americana y del Caribe en Ciencias de la Salud (LILACS), Scientific Eletronic Library Online (SCIELO) y algunos libros sobre el tema. Se buscó una recolección amplia utilizando las palabras data mining y mineración de datos, en el período comprendido entre 1999 a 2008. Como criterios de exclusión fueron utilizados los descriptores: industria minera, minas, mineralogía; se excluyeron artículos que no aclaraban el método y las tareas relacionadas a la mineración de dados. De los 123 artículos encontrados, 32 fueron seleccionados. Se observó que el volumen de datos almacenados es gigantesco y continúa creciendo exponencialmente. Con eso el proceso de Descubri...

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Section: Knowledge Discovery In Databasesmentioning

confidence: 99%

Técnica de mineração de dados: uma revisão da literatura

Galvão

Marin

2009

Acta paul. enferm.

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“…Information on collaborative agreements mentioned in the trade press on the genomic industry was collected. The set of original genomic companies was chosen on the basis of trade press, scientific press, and commercial sources (see, e.g., Jones, 2000;Reed, 2000;Wickelgren, 1999). For the current study, the collaborations amongst the most often portrayed genomic companies and large mainly pharmaceutical companies have been collected.…”

Section: Data Collectionmentioning

confidence: 99%

An Actor-Oriented Dynamic Network Approach

Bunt

Groenewegen

2007

Organizational Research Methods

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There is a growing interest in intra-and interorganizational network dynamics. The central question in the latter domain is, ''How do firms choose collaborative partners given their present network configuration, their goals, and characteristics to get a strategic network position?'' We introduce actor-oriented network models as a method to describe and explain the development of interorganizational collaboration networks. The models are applied to longitudinal data about collaborative agreements within the genomics industry.

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“…In genetics, the developments in the first stage of computer applications have been stimulated by the sizeable investment by government agencies both in the US and Europe (Cook-Deegan, 1995). The first development relevant to our argument concerns the early characteristics of DNA sequencing research as conceived by the Human Genome Project (Jones, 2000). Technical innovations played an important role in the process.…”

Section: The Informational Turn In Research Practicesmentioning

confidence: 99%

“…In Table 1 some of the key issues are labelled for a set of companies that were identified in trade literature in 2000 as future key players (Howard, 2000;Reed, 2000). For the data-based companies, Jones describes the four basic models of information handling these companies use (Jones, 2000):…”

Section: Corporate Innovation Strategies and Cooperationmentioning

confidence: 99%

“…Initially, it was expected that data and information selling would be a viable business model in itself (Howard, 2000;Haussler, 2001). There was however also early scepticism, which claimed that pure information providers and brokers would not survive (Jones, 2000). Increasingly these functions indeed have come under pressure as the large pharmaceutical companies cut back on their spending and publicly available databases of genetic information emerged.…”

Section: Corporate Innovation Strategies and Cooperationmentioning

confidence: 99%

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Genomics, ICT and the formation of R&D networks

Groenewegen

Wouters

2004

New Genetics and Society

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and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material.

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The commercialization of bioinformatics

Cited by 10 publications

References 56 publications

Técnica de mineração de dados: uma revisão da literatura

Técnica de mineração de dados: uma revisão da literatura

An Actor-Oriented Dynamic Network Approach

Genomics, ICT and the formation of R&D networks

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