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Abstract

Biofilms research has evolved considerably in the last decade and is now generating large volumes of heterogeneous data. MIABiE, the international initiative on Biofilms, is devising guidelines for data interchange, and some databases provide access to biofilms experiments. However, the field is lacking appropriate bioinformatics tools in support of increasing operational and analytical needs. This paper presents a flexible and extensible open-source workbench for the operation and analysis of biofilms experiments, as follows: (i) the creation of customised experiments, (ii) the collection of various analytical results, following community standardisation guidelines and (iii) on-demand reporting and statistical evaluation.

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References

  1. Hall-Stoodley, L., Costerton, J.W., Stoodley, P.: Bacterial biofilms: from the natural environment to infectious diseases. Nat. Rev. Microbiol. 2, 95–108 (2004)

    Article  Google Scholar 

  2. Donlan, R.M.: Biofilms: microbial life on surfaces. Emerg. Infect. Dis. 8, 881–890 (2002)

    Article  Google Scholar 

  3. Davey, M.E., O’toole, G.A.: Microbial biofilms: from ecology to molecular genetics. Microbiol. Mol. Biol. Rev. 64, 847–867 (2000)

    Article  Google Scholar 

  4. Jain, A., Gupta, Y., Agrawal, R., Khare, P., Jain, S.K.: Biofilms–a microbial life perspective: a critical review. Crit. Rev. Ther. Drug Carrier Syst. 24, 393–443 (2007)

    Article  Google Scholar 

  5. Römling, U., Balsalobre, C.: Biofilm infections, their resilience to therapy and innovative treatment strategies. J. Intern. Med. 272, 541–561 (2012)

    Article  Google Scholar 

  6. Peters, B.M., Jabra-Rizk, M.A., O’May, G.A., Costerton, J.W., Shirtliff, M.E.: Polymicrobial interactions: impact on pathogenesis and human disease. Clin. Microbiol. Rev. 25, 193–213 (2012)

    Article  Google Scholar 

  7. Azevedo, N.F., Lopes, S.P., Keevil, C.W., Pereira, M.O., Vieira, M.J.: Time to “go large” on biofilm research: advantages of an omics approach. Biotechnol. Lett. 31, 477–485 (2009)

    Article  Google Scholar 

  8. Buckingham-Meyer, K., Goeres, D.M., Hamilton, M.A.: Comparative evaluation of biofilm disinfectant efficacy tests. J. Microbiol. Methods 70, 236–244 (2007)

    Article  Google Scholar 

  9. Hamilton, M.A.: KSA-SM-03 - Desirable attributes of a standardized method. Stand. METHODS Test. Surf. Disinfect (2010)

    Google Scholar 

  10. Lourenço, A., Ferreira, A., Veiga, N., Machado, I., Pereira, M.O., Azevedo, N.F.: BiofOmics: A Web Platform for the Systematic and Standardized Collection of High-Throughput Biofilm Data. PLoS One 7, e39960 (2012)

    Google Scholar 

  11. Sousa, A.M., Ferreira, A., Azevedo, N.F., Pereira, M.O., Lourenço, A.: Computational approaches to standard-compliant biofilm data for reliable analysis and integration. J. Integr. Bioinform. 9, 203 (2012)

    Google Scholar 

  12. Bray, T., Paoli, J., Sperberg-McQueen, C.M.: Extensible markup language, XML (1998), http://www.w3.org/TR/1998/REC-xml-19980210

  13. Sreenivasaiah, P.K., Kim, D.H.: Current trends and new challenges of databases and web applications for systems driven biological research. Front. Physiol. 1, 147 (2010)

    Article  Google Scholar 

  14. Glez-Peña, D., Reboiro-Jato, M., Maia, P., Rocha, M., Díaz, F., Fdez-Riverola, F.: AIBench: a rapid application development framework for translational research in biomedicine. Comput. Methods Programs Biomed. 98, 191–203 (2010)

    Article  Google Scholar 

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Correspondence to Gael Pérez Rodríguez .

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Rodríguez, G.P., Glez-Peña, D., Azevedo, N.F., Pereira, M.O., Fdez-Riverola, F., Lourenço, A. (2014). BEW: Bioinformatics Workbench for Analysis of Biofilms Experimental Data. In: Saez-Rodriguez, J., Rocha, M., Fdez-Riverola, F., De Paz Santana, J. (eds) 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014). Advances in Intelligent Systems and Computing, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-319-07581-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-07581-5_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07580-8

  • Online ISBN: 978-3-319-07581-5

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