No-boundary thinking in bioinformatics research

Currently there are definitions from many agencies and research societies defining “bioinformatics” as deriving knowledge from computational analysis of large volumes of biological and biomedical data. Should this be the bioinformatics research focus? We will discuss this issue in this review articl...

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Detalles Bibliográficos
Autores principales: Huang, Xiuzhen, Bruce, Barry, Buchan, Alison, Congdon, Clare Bates, Cramer, Carole L, Jennings, Steven F, Jiang, Hongmei, Li, Zenglu, McClure, Gail, McMullen, Rick, Moore, Jason H, Nanduri, Bindu, Peckham, Joan, Perkins, Andy, Polson, Shawn W, Rekepalli, Bhanu, Salem, Saeed, Specker, Jennifer, Wunsch, Donald, Xiong, Donghai, Zhang, Shuzhong, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827872/
https://www.ncbi.nlm.nih.gov/pubmed/24192339
http://dx.doi.org/10.1186/1756-0381-6-19
Descripción
Sumario:Currently there are definitions from many agencies and research societies defining “bioinformatics” as deriving knowledge from computational analysis of large volumes of biological and biomedical data. Should this be the bioinformatics research focus? We will discuss this issue in this review article. We would like to promote the idea of supporting human-infrastructure (HI) with no-boundary thinking (NT) in bioinformatics (HINT).

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