Irene Filiopoulou

@article{keklikoglou_micro-ctvlab_2016,
title = {Micro-CTvlab: A web based virtual gallery of biological specimens using X-ray microtomography (micro-CT)},
author = {K Keklikoglou and S Faulwetter and E Chatzinikolaou and N Michalakis and I Filiopoulou and N Minadakis and E Panteri and G Perantinos and A Gougousis and C Arvanitidis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018643360&doi=10.3897%2fBDJ.4.e8740&partnerID=40&md5=450c2ceab515e072b612c9c046e0c7bc},
doi = {10.3897/BDJ.4.e8740},
issn = {13142828},
year = {2016},
date = {2016-01-01},
journal = {Biodiversity Data Journal},
volume = {4},
number = {1},
abstract = {Background During recent years, X-ray microtomography (micro-CT) has seen an increasing use in biological research areas, such as functional morphology, taxonomy, evolutionary biology and developmental research. Micro-CT is a technology which uses X-rays to create submicron resolution images of external and internal features of specimens. These images can then be rendered in a three-dimensional space and used for qualitative and quantitative 3D analyses. However, the online exploration and dissemination of micro-CT datasets are rarely made available to the public due to their large size and a lack of dedicated online platforms for the interactive manipulation of 3D data. Here, the development of a virtual micro-CT laboratory (Micro-CTvlab ) is described, which can be used by everyone who is interested in digitisation methods and biological collections and aims at making the micro- CT data exploration of natural history specimens freely available over the internet. New information The Micro-CTvlab offers to the user virtual image galleries of various taxa which can be displayed and downloaded through a web application. With a few clicks, accurate, detailed and three-dimensional models of species can be studied and virtually dissected without destroying the actual specimen. The data and functions of the Micro-CTvlab can be accessed either on a normal computer or through a dedicated version for mobile devices. © Keklikoglou K et al.},
note = {Publisher: Pensoft Publishers},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{gerovasileiou_cigesmed_2016,
title = {CIGESMED for divers: Establishing a citizen science initiative for the mapping and monitoring of coralligenous assemblages in the Mediterranean Sea},
author = {V Gerovasileiou and T Dailianis and E Panteri and N Michalakis and G Gatti and M Sini and C Dimitriadis and Y Issaris and M Salomidi and I Filiopoulou and A Doğan and L T V d'Avray and R David and M E Çinar and D Koutsoubas and J -P Féral and C Arvanitidis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018641504&doi=10.3897%2fBDJ.4.e8692&partnerID=40&md5=44c645ca189b05f7ffb7e1d895a0db95},
doi = {10.3897/BDJ.4.e8692},
issn = {13142828},
year = {2016},
date = {2016-01-01},
journal = {Biodiversity Data Journal},
volume = {4},
number = {1},
abstract = {Background Over the last decade, inventorying and monitoring of marine biodiversity has significantly benefited from the active engagement of volunteers. Although several Citizen Science projects concern tropical reef ecosystems worldwide, none of the existing initiatives has yet specifically focused on their Mediterranean equivalents. Mediterranean coralline reefs, known as "coralligenous", are bioherms primarily built by calcifying rhodophytes on hard substrates under dim-light conditions; they are considered hotspots of biodiversity and are extremely popular among divers due to their complex structure, conspicuous biological wealth and high aesthetic value. Nevertheless, data on their distribution, structure and conservation status is lacking for several Mediterranean areas while they are vulnerable to an increasing number of threats. New information In the framework of CIGESMED SeasEra (ERAnet) project a specialized Citizen Science project was launched, aiming to engage enthusiast divers in the study and monitoring of Mediterranean coralligenous assemblages through the gathering of basic information regarding their spatial occurrence, assemblage structure and associated pressures or threats. For its active implementation, a data collection protocol and a multilingual website were developed, comprising an educational module and a data submission platform. Georeferenced data reporting focuses on: (a) basic topographic and abiotic features for the preliminary description of each site, and the creation of data series for sites receiving multiple visits; (b) presence and relative abundance of typical conspicuous species, as well as (c) existence of pressures and imminent threats, for the characterization and assessment of coralligenous assemblages. A variety of tools is provided to facilitate end users, while divers have the choice to report additional information and are encouraged to upload their photographs. The long-term goal is the development of an active community of amateur observers providing widespread and ecologically significant data on coralligenous assemblages. © Gerovasileiou V et al.},
note = {Publisher: Pensoft Publishers},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{varsos_optimized_2016,
title = {Optimized R functions for analysis of ecological community data using the R virtual laboratory (RvLab)},
author = {C Varsos and T Patkos and A Oulas and C Pavloudi and A Gougousis and U Z Ijaz and I Filiopoulou and N Pattakos and E V Berghe and A Fernández-Guerra and S Faulwetter and E Chatzinikolaou and E Pafilis and C Bekiari and M Doerr and C Arvanitidis},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018640003&doi=10.3897%2fBDJ.4.e8357&partnerID=40&md5=6003e9caf6582fdde7f4bffec91e154f},
doi = {10.3897/BDJ.4.e8357},
issn = {13142828},
year = {2016},
date = {2016-01-01},
journal = {Biodiversity Data Journal},
volume = {4},
number = {1},
abstract = {Background Parallel data manipulation using R has previously been addressed by members of the R community, however most of these studies produce ad hoc solutions that are not readily available to the average R user. Our targeted users, ranging from the expert ecologist/ microbiologists to computational biologists, often experience difficulties in finding optimal ways to exploit the full capacity of their computational resources. In addition, improving performance of commonly used R scripts becomes increasingly difficult especially with large datasets. Furthermore, the implementations described here can be of significant interest to expert bioinformaticians or R developers. Therefore, our goals can be summarized as: (i) description of a complete methodology for the analysis of large datasets by combining capabilities of diverse R packages, (ii) presentation of their application through a virtual R laboratory (RvLab) that makes execution of complex functions and visualization of results easy and readily available to the end-user. New information In this paper, the novelty stems from implementations of parallel methodologies which rely on the processing of data on different levels of abstraction and the availability of these processes through an integrated portal. Parallel implementation R packages, such as the pbdMPI (Programming with Big Data - Interface to MPI) package, are used to implement Single Program Multiple Data (SPMD) parallelization on primitive mathematical operations, allowing for interplay with functions of the vegan package. The dplyr and RPostgreSQL R packages are further integrated offering connections to dataframe like objects (databases) as secondary storage solutions whenever memory demands exceed available RAM resources. The RvLab is running on a PC cluster, using version 3.1.2 (2014-10-31) on a x86_64-pclinux- gnu (64-bit) platform, and offers an intuitive virtual environmet interface enabling users to perform analysis of ecological and microbial communities based on optimized vegan functions. A beta version of the RvLab is available after registration at: https:// portal.lifewatchgreece.eu/.},
note = {Publisher: Pensoft Publishers},
keywords = {},
pubstate = {published},
tppubtype = {article}
}