No-boundary thinking in bioinformatics research

Xiuzhen Huang; Barry Bruce; Alison Buchan; Clare Bates Congdon; Carole L. Cramer; Steven F. Jennings; Hongmei Jiang; Zenglu Li; Gail McClure; Rick McMullen; Jason H. Moore; Bindu Nanduri; Joan Peckham; Andy Perkins; Shawn W. Polson; Bhanu Rekepalli; Saeed Salem; Jennifer Specker; Donald Wunsch; Donghai Xiong; Shuzhong Zhang; Zhongming Zhao

doi:10.1186/1756-0381-6-19

No-boundary thinking in bioinformatics research

Xiuzhen Huang, Barry Bruce, Alison Buchan, Clare Bates Congdon, Carole L. Cramer, Steven F. Jennings, Hongmei Jiang, Zenglu Li, Gail McClure, Rick McMullen, Jason H. Moore, Bindu Nanduri, Joan Peckham, Andy Perkins, Shawn W. Polson, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald Wunsch, Donghai XiongShuzhong Zhang, Zhongming Zhao

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

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).

Original language	English (US)
Article number	19
Journal	BioData Mining
Volume	6
Issue number	1
DOIs	https://doi.org/10.1186/1756-0381-6-19
State	Published - 2013

Keywords

Human infrastructure
No-boundary thinking

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Genetics
Computer Science Applications
Computational Mathematics
Computational Theory and Mathematics

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10.1186/1756-0381-6-19

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Huang, X., Bruce, B., Buchan, A., Congdon, C. B., Cramer, C. L., Jennings, S. F., Jiang, H., Li, Z., McClure, G., McMullen, R., Moore, J. H., Nanduri, B., Peckham, J., Perkins, A., Polson, S. W., Rekepalli, B., Salem, S., Specker, J., Wunsch, D., ... Zhao, Z. (2013). No-boundary thinking in bioinformatics research. BioData Mining, 6(1), [19]. https://doi.org/10.1186/1756-0381-6-19

Huang, X, Bruce, B, Buchan, A, Congdon, CB, Cramer, CL, Jennings, SF, Jiang, H, Li, Z, McClure, G, McMullen, R, Moore, JH, Nanduri, B, Peckham, J, Perkins, A, Polson, SW, Rekepalli, B, Salem, S, Specker, J, Wunsch, D, Xiong, D, Zhang, S & Zhao, Z 2013, 'No-boundary thinking in bioinformatics research', BioData Mining, vol. 6, no. 1, 19. https://doi.org/10.1186/1756-0381-6-19

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abstract = "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).",

keywords = "Human infrastructure, No-boundary thinking",

author = "Xiuzhen Huang and Barry Bruce and Alison Buchan and Congdon, {Clare Bates} and Cramer, {Carole L.} and Jennings, {Steven F.} and Hongmei Jiang and Zenglu Li and Gail McClure and Rick McMullen and Moore, {Jason H.} and Bindu Nanduri and Joan Peckham and Andy Perkins and Polson, {Shawn W.} and Bhanu Rekepalli and Saeed Salem and Jennifer Specker and Donald Wunsch and Donghai Xiong and Shuzhong Zhang and Zhongming Zhao",

note = "Funding Information: With the rapid advance of biotechnologies and development of clinical record systems, we have witnessed an exponential growth of data ranging from “omics” (such as genomics, proteomics, metabolomics, and pharmacogenomics), imaging data, to electronic medical record data. Last year, the federal funding agencies National Institutes of Health (NIH) and National Science Foundation (NSF) exercised a joint effort to launch big-data initiatives and consortia to promote and support big-data projects [2]. Focused specifically on computational medicine and personalized treatments, large consortia have been initiated (such as The Cancer Genome Atlas (TCGA); http://cancergenome.nih.gov/) to collect large quantities of data and conduct analyses with the hope of addressing cancer causes, diagnosis, prognosis, and treatments. Funding Information: Supported by NSF EPSCoR Grant Number #1239812.",

year = "2013",

doi = "10.1186/1756-0381-6-19",

language = "English (US)",

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AU - Huang, Xiuzhen

AU - Bruce, Barry

AU - Buchan, Alison

AU - Congdon, Clare Bates

AU - Cramer, Carole L.

AU - Jennings, Steven F.

AU - Jiang, Hongmei

AU - Li, Zenglu

AU - McClure, Gail

AU - McMullen, Rick

AU - Moore, Jason H.

AU - Nanduri, Bindu

AU - Peckham, Joan

AU - Perkins, Andy

AU - Polson, Shawn W.

AU - Rekepalli, Bhanu

AU - Salem, Saeed

AU - Specker, Jennifer

AU - Wunsch, Donald

AU - Xiong, Donghai

AU - Zhang, Shuzhong

AU - Zhao, Zhongming

N1 - Funding Information: With the rapid advance of biotechnologies and development of clinical record systems, we have witnessed an exponential growth of data ranging from “omics” (such as genomics, proteomics, metabolomics, and pharmacogenomics), imaging data, to electronic medical record data. Last year, the federal funding agencies National Institutes of Health (NIH) and National Science Foundation (NSF) exercised a joint effort to launch big-data initiatives and consortia to promote and support big-data projects [2]. Focused specifically on computational medicine and personalized treatments, large consortia have been initiated (such as The Cancer Genome Atlas (TCGA); http://cancergenome.nih.gov/) to collect large quantities of data and conduct analyses with the hope of addressing cancer causes, diagnosis, prognosis, and treatments. Funding Information: Supported by NSF EPSCoR Grant Number #1239812.

PY - 2013

Y1 - 2013

N2 - 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).

AB - 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).

KW - Human infrastructure

KW - No-boundary thinking

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No-boundary thinking in bioinformatics research

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Keywords

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