Biomedical Engineering – From Theory to Applications

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20 Biomedical Engineering – From Theory to Applications askMEDLINE http://askmedline.nlm.nih.gov/ask/ask.php iHOP - Information Hyperlinked over Proteins http://www.ihop-net.org/UniPub/iHOP NCBO BioPortal: Welcome to the NCBO BioPortal http://bioportal.bioontology.org Gene-L'EXPO http://www.genelexpo.jp/genelexpo Home - BioMedLib search engine http://www.relemed.com BioIE - Extracting informative sentences from the biomedical literature http://www.bioinf.manchester.ac.uk/dbbrowser/bioie PubMed Assistant http://metnet.vrac.iastate.edu/browser e-LiSe - text mining tool for Medline data http://miron.ibb.waw.pl/elise/index.html FACTA - Finding Associated Concepts with Text Analysis http://text0.mib.man.ac.uk/software/facta/main.html FABLE - Fast Automated Biomedical Literature Extraction http://fable.chop.edu Journal / Author Name Estimator http://biosemantics.org/jane Ali Baba — PubMed as a graph http://alibaba.informatik.hu-berlin.de PubNet: Publication Network Graph Utility http://pubnet.gersteinlab.org Pubget: the search engine for life-science PDFs http://pubget.com/search PolySearch: a web-based text mining system for... http://www.ncbi.nlm.nih.gov/pubmed/18487273?dopt=AbstractPlus Deja vu > Browse http://spore.swmed.edu/dejavu/duplicate Non-Bibliographic LinkOut Providers http://www.ncbi.nlm.nih.gov/projects/linkout/journals/htmllists.cgi?type_id=9 Bio Saga: 18 Ways to improve your PubMed searches http://lukeskywaran.blogspot.com/2008/07/18-ways-to-improve-your-pubmedsearches.html PathBinder http://metnet.vrac.iastate.edu/MetNet_PathBinder.htm www.scitrends.net http://www.scitrends.net Manjal - Mining MEDLINE for New Ideas http://sulu.info-science.uiowa.edu/cgi-bin/ManjalMain.cgi MScanner http://mscanner.stanford.edu PubMed search: A free individualized PubMed software search http://www.pubmedreader.com Anne O'Tate http://128.248.65.210/cgi-bin/arrowsmith_uic/AnneOTate.cgi
Biomedical Web, Collections and Meta-Analysis Literature Applications 6. References Atkins, D. E., Droegemeier, K. K., Feldman, S. I., Garcia-molina, H., Klein, M. L., Messina, P., Messerschmitt, D. G., Ostriker, J. P. and Wright, M. H. (2003). Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on. Science. Ananiadou, S., Kell, D. B., & Tsujii, J.-i. (2006). Text mining and its potential applications in systems biology. Trends in biotechnology, 24(12), 571–579. URL http://dx.doi.org/10.1016/j.tibtech.2006.10.002 Borgman, C. L . (1999). What are Digital Libraries, Who is Building Them, and Why? In Aparac, T. (Ed.), Digital libraries: Interdisciplinary concepts, challenges and opportunities (pp. 29-42). Zagreb : Benja. Boyack, K. W. (2004). Mapping knowledge domains: Characterizing PNAS. Proceedings of the National Academy of Sciences of the United States of America, 101 (Suppl 1), 5192-5199. Cokol, M., & Rodriguez-Esteban, R. (2008). Visualizing evolution and impact of biomedical fields. Journal of Biomedical Informatics, 41(6), 1050-1052. Elsevier. (2011). Scopus. In: Sciverse. Frebuary 2011. Available from: European Bioinformaticas Institute. (2011). CiteExplore Statistics. In:CiteExplore, March 2011, Available from: Falciola, L. (2009). Searching biotechnology information: A case study. World Patent Information, 31(1), 36-47. Harmston, N., Filsell, W., & Stumpf, M. P. H. (2010). What the papers say: Text mining for genomics and systems biology. Human Genomics, 5(1), 17–29. Henderson, J. (2005). Google scholar: A source for clinicians? CMAJ, 172(12), 1549-1550. Hey, T., & Trefethen, A. E. (2005). Cyberinfrastructure for e-Science. Science, 308(5723), 817- 821. Hull, D., Pettifer, S. R., & Kell, D. B. (2008). Defrosting the digital library: Bibliographic tools for the next generation web. PLoS Computational Biology, 4(10), e1000204+. Koskinen, J., Isohanni, M., Paajala, H., Jaä̈skelaïnen, E., Nieminen, P., Koponen, H., Tienari, P., & Miettunen, J. (2008). How to use bibliometric methods in evaluation of scientific research? an example from finnish schizophrenia research. Nordic Journal of Psychiatry, 62(2), 136–143. URL http://dx.doi.org/10.1080/08039480801961667 Krallinger, M., Valencia, A., & Hirschman, L. (2008). Linking genes to literature: text mining, information extraction, and retrieval applications for biology. Genome Biology, 9 Suppl 2(Suppl 2), S8. URL http://dx.doi.org/10.1186/gb-2008-9-s2-s8 Labarga, A. (2009). Comunicación y uso de la literatura científica en biomedicina. In II Seminario EC3 sobre evaluación y comunicación de la ciencia. Retrieved from http://ec3.ugr.es/seminario2009/ Larson, R. R. (2010a). Information retrieval: Searching in the 21st century; human information retrieval. Journal of the American Society for Information Science and Technology, 61(11), 2370-2372. Larson, R. R. (2010b). Introduction to information retrieval. Journal of the American Society for Information Science and Technology, 61(4), 852-853. Li, L.-L., Ding, G., Feng, N., Wang, M.-H., & Ho, Y.-S. (2009). Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics, 80(1), 39-58. 21
Page 1 and 2: BIOMEDICAL ENGINEERING - FROM THEOR
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110 Method (Detection) Analyte Matr
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120 6. Conclusion Biomedical Engine
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150 5. Conclusions Biomedical Engin
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162 1 st phase : half year 4 2 nd p
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180 16. Acknowledgments Biomedical
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190 R* M M M M MR*M O O O O M O R*
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196 Fig. 9. Chemical structure of 5
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198 Relative Intensity (AU) Biomedi
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204 2. Preparation of IO nanopartic
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256 3. Deposition techniques Biomed
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454 In this case, the eigenvalues a
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472 Nb b b l l1 Biomedical Engineer
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