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Record W2051950256 · doi:10.5936/csbj.201303006

MEETING REPORT: THE SEVENTH CONFERENCE OF THE HELLENIC SOCIETY FOR COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

2013· article· en· W2051950256 on OpenAlexaff
Stavros J. Hamodrakas, Ioannis Iliopoulos, Christos Ouzounis, Pantelis G. Bagos, Vasilis J. Promponas

Bibliographic record

VenueComputational and Structural Biotechnology Journal · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEnthusiasmAusterityLibrary sciencePolitical sciencePublic relationsComputer scienceLawPsychology

Abstract

fetched live from OpenAlex

The Hellenic Society For Computational Biology and Bioinformatics (HSCBB) was conceived as a trans-national society, representing two countries that share the same language and history, Cyprus and Greece. The first, unofficial meeting was held in Heraklion in 2006, followed by Athens in 2007 and Thessalonica in 2008. After the formation of the Society and its ‘inaugural’, fourth scientific conference in Athens during 2009, the HSCBB organized two meetings in Alexandroupolis and Patras, with the aspiration to provide the necessary exposure of graduate students to new developments, expand its horizons towards the international community, promote the development of the field and formulate a solid agenda for the future, all consistent with its primary goals (http://www.hscbb.gr). The HSCBB12 meeting, which took place in Heraklion confirmed that, even in a period of austerity and societal crisis, the local community is increasingly active. Thanks to the support of national and international sponsors, including the Computational and Structural Biotechnology Journal, the HSCBB12 has been an unprecedented success. Approximately 100 participants have registered, providing for the first time a much clearer picture of activities of the bioinformatics communities in the two countries and material for a mapping exercise undertaken by the HSCBB, as a vehicle for further growth. One verdict from this analysis has been that today, unlike seven years ago, all major academic centers in the two countries have acquired some bioinformatics activity, with a wide range of expertise, much depending on the local needs of the corresponding organizations. Four keynote speakers provided a wider perspective of translational bioinformatics in their own special fields: Manolis Dermitzakis (University of Geneva) on human population genomics, Anton Enright (European Bioinformatics Institute) on miRNA computational genomics, Alice McHardy (Max-Planck-Institut für Informatik)'on' human'influenza'A'virus' evolution,' and' Alexis Stamatakis (Heidelberg Institute for Theoretical studies) on computational challenges in biodiversity informatics. Moreover, another four invited speakers covered diverse, yet more practical areas in the field: Graham Ball (Nottingham Trent University) on pathway modelling, Guy Cochrane (European Bioinformatics Institute) on the European Nucleotide Archive, Ioannis Kontodinas (Biomax Informatics) on knowledge management for systems biology,'and Kitsos Louis (IMBB-FORTH) on the role of ontologies in modern biology. All these contributions were highly appreciated by their audiences. The topics covered by the conference included the following areas: ˆstructural bioinformatics (interaction site analysis, sequence-based structural classification, molecular recognition feature analysis);ˆsequence analysis (transcriptome analysis, SNP analysis, structural variomics);ˆsystems biology (stochastic modeling of protein dynamics, metabolomics, epigenomics);ˆgene regulation and miRNA (miRNA profiling, miRNA duplex prediction, miRNA ontologies);ˆalgorithms, methods & tools (tree pruning algorithms, GPU accelerators, scientific workflow management systems);ˆapplied/translational bioinformatics (cell signaling simulations, text mining, evolutionary bioinformatics, data integration, biomarker discovery);ˆgenome and comparative biology (gene duplication detection, microbial genome annotation, pangenome analysis). The list of the 70 or so contributions (20 oral presentations, 38 posters, 4 invited presentations, 1 three-day workshop, plus the 8 keynote and invited lectures) has exceeded expectations for another reason. For the first time, contributions at the HSCBB conference had a significant number of co-authorships with multiple, highly prestigious institutions, including the EBI, the Joint Genome Institute at Berkeley, and Imperial College London. In total, according to one study published a few years ago in the HSCBB10 proceedings, 400 papers from 63 institutions have been published in one generation, with an exponential increase during the past decade, indicating that bioinformatics have now taken root in Greece and Cyprus, with a new generation of scientists acquiring the expertise and the ability to instigate new research and education programs. According to another bibliometric study, also published in the HSCBB10 proceedings, there is still scope for growth both in quantity and quality. Greece can potentially increase the number of bioinformatics laboratories from a dozen or so today to over 30 while Cyprus might also develop bioinformatics from a handful of teams to twice that number. Moreover, the impact of HSCBB in the literature is comparable to that of Australia and New Zealand, if the GDP per capita rank of the two pairs of countries is taken into account. In other words, Greece and Cyprus have reached a level where their computational biology communities arguably have a respectable standing on the world stage. As pointed out elsewhere, the field has now grown to a point that biological research is virtually impossible without computation, so that even smaller countries do have a role in this collective effort worldwide (http://www.ploscollections.org/article/browseIssue.action?issue=info%3Adoi%2F10.1371%2Fissue.pcol.v03.i03). We hope that the effort of the HSCBB members will ultimately generate the interest of the international community and establish a presence beyond the borders of Greece and Cyprus.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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