The RvLab is a very useful and powerful tool, both for users who are already familiar with R (and some of its functions) but also for students and/or scientists who are in favour of open source software and would like to dedicate some time to get familiar with its functions, without having to go through the steep command line R learning curve.

RvLab Publications

Varsos, C., Patkos, T., Oulas, A., Pavloudi, C., Gougousis, A., Ijaz, U., Filiopoulou, I., Pattakos, N., Vanden Berghe, E., Fernández-Guerra, A., Faulwetter, S., Chatzinikolaou, E., Pafilis, E., Bekiari, C., Doerr, M., & Arvanitidis, C. (2016). Optimized R functions for analysis of ecological community data using the R virtual laboratory (RvLab). Biodiversity Data Journal 4: e8357. DOI: 10.3897/BDJ.4.e8357

Pavloudi, C., Oulas, A., Vasileiadou, K., Kotoulas, G., De Troch, M., Friedrich, M. W., & Arvanitidis, C., (2017). Diversity and abundance of sulfate-reducing microorganisms in a Mediterranean lagoonal complex (Amvrakikos Gulf, Ionian Sea) derived from dsrB gene. Aquatic Microbial Ecology 79: 209. DOI: 10.3354/ame01829


The Bulgarian National Distributed Centre is represented by the  Agricultural University-Plovdiv.

To know more about how Bulgaria contributes to LifeWatch ERIC, please visit our dedicated webpage.