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Ioannis Iliopoulos
Researcher at University of Crete
Publications - 59
Citations - 2682
Ioannis Iliopoulos is an academic researcher from University of Crete. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 20, co-authored 48 publications receiving 2366 citations. Previous affiliations of Ioannis Iliopoulos include European Bioinformatics Institute.
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Journal ArticleDOI
Protein interaction maps for complete genomes based on gene fusion events
TL;DR: It is shown that 215 genes or proteins in the complete genomes of Escherichia coli, Haemophilus influenzae and Methanococcus jannaschii are involved in 64 unique fusion events, which is able to predict functional associations of proteins.
Journal ArticleDOI
Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies
Anastasis Oulas,Christina Pavloudi,Paraskevi N. Polymenakou,Georgios A. Pavlopoulos,Nikolas Papanikolaou,Georgios Kotoulas,Christos Arvanitidis,Ioannis Iliopoulos +7 more
TL;DR: An overview of the sequencing technologies and how they are uniquely suited to various types of metagenomic studies is provided and future trends in the field are provided with respect to tools and technologies currently under development.
Proceedings ArticleDOI
Textquest : document clustering of medline abstracts for concept discovery in molecular biology
TL;DR: An algorithm for large-scale document clustering of biological text, obtained from Medline abstracts, based on statistical treatment of terms, stemming, the idea of a 'go-list', unsupervised machine learning and graph layout optimization is presented.
Journal ArticleDOI
Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future
Georgios A. Pavlopoulos,Dimitris Malliarakis,Nikolas Papanikolaou,Theodosis Theodosiou,Anton J. Enright,Ioannis Iliopoulos +5 more
TL;DR: The past, present and future of genomic and systems biology visualization is discussed, and the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts are focused on.
Journal ArticleDOI
Evaluation of annotation strategies using an entire genome sequence
Ioannis Iliopoulos,Sophia Tsoka,Miguel A. Andrade,Anton J. Enright,Mark Carroll,Patrick Poullet,Vasilis J. Promponas,Theodore D. Liakopoulos,Giorgos Palaios,Claude Pasquier,Stavros J. Hamodrakas,Javier Tamames,Asutosh T. Yagnik,Anna Tramontano,Damien P. Devos,Christian Blaschke,Alfonso Valencia,David Brett,David M. A. Martin,Christophe Leroy,Isidore Rigoutsos,Chris Sander,Christos A. Ouzounis +22 more
TL;DR: It is concluded that genome annotation may entail a considerable amount of errors, ranging from simple typographical errors to complex sequence analysis problems, and automatic systems might perform as well as the teams of experts annotating genome sequences.