Petros Kountouris

Academic Staff

Current Position

Associate Scientist, Molecular Genetics Thalassaemia Department

The Cyprus Institute of Neurology & Genetics

Education

  • Ph.D. in Bioinformatics, School of Chemistry, University of Nottingham, Nottingham, UK
  • B.Sc. in Computer Engineering and Informatics, University of Patras, Patra, Greece

 

Biography

Selected Publications

  1. Kountouris P, Stephanou C, Bento C, Fanis P, Elion J, Ramesar RS, bin Alwi Z, Robinson HM, Tshilolo L, Fucharoen S, Traeger-Synodinos J, Harteveld CL, den Dunnen JT, Angastiniotis M, Piga A, Thein SL, Ibarra B, Stamatoyannopoulos G, Weatherall D, HVP Global Globin 2020 Challenge, Lederer CL, and Kleanthous M. ITHANET: Information and database community portal for haemoglobinopathies. In preparation (2017)
  2. Kountouris P, Kousiappa I, Papasavva T, Christopoulos G, Pavlou E, Petrou M, Feleki X, Karitzie E, Phylactides M, Fanis P, Lederer CW, Kyrri AR, Kalogerou E, Makariou C, Ioannou C, Kythreotis L, Hadjilambi G, Andreou N, Pangalou E, Savvidou I, Angastiniotis M, Hadjigavriel M, Sitarou M, Kolnagou A, Kleanthous M, Christou S. The molecular spectrum and distribution of haemoglobinopathies in Cyprus: a 20-year retrospective study. Sci Rep 6, 26371 (2016).
  3. Papasavva T, Martin P, Legler TJ, Liasides M, Anastasiou G, Christofides A, Christodoulou T, Demetriou S, Kerimis P, Kontos C, Leontiades G, Papapetrou D, Patroclos T, Phylaktou M, Zottis N, Karitzie E, Pavlou E, Kountouris P, Veldhuisen B, Van der Schoot E, Kleanthous M. Prevalence of RhD status and clinical application of non-invasive prenatal determination of fetal RHD in maternal plasma: a 5 year experience in Cyprus. BMC Res Notes 9(1):198 (2016)
  4. Agathocleous M, Christodoulou C, Promponas V, Kountouris P, Vassiliades V. Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. In: Villa A., Masulli P., Pons Rivero A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2016. ICANN 2016. Lecture Notes in Computer Science, vol 9886. Springer, Cham (2016)
  5. Kountouris P, Lederer CW, Fanis P, Feleki X, Old J, Kleanthous M. IthaGenes: an interactive database for haemoglobin variations and epidemiology. PLoS One, 9(7):e103020 (2014)
  6. Kyrri AR, Kalogerou E, Loizidou D, Ioannou C, Makariou C, Kythreotis L, Phylactides M, Kountouris P, Angastiniotis M, Modell B, Kleanthous M. Thechanging epidemiology of β-thalassemia in the Greek-Cypriot population.Hemoglobin, 37(5):435-43 (2013)
  7. Papasavva T, van Ijcken WF, Kockx CE, van den Hout MC, Kountouris P, Kythreotis L, Kalogirou E, Grosveld FG, Kleanthous M. Next generation sequencing of SNPs for non-invasive prenatal diagnosis: challenges and feasibility as illustrated by an application to β-thalassaemia. Eur J Hum Genet, 21(12):1403-10 (2013)
  8. Kountouris P, Agathocleous M, Promponas V, Christodoulou G, Hadjicostas S, Vassiliades V, Christodoulou C. A comparative study on filtering protein secondary structure prediction. IEEE/ACM Trans Comput Biol Bioinform, 9(3), 731-739 (2012)
  9. Kountouris P & Hirst JD. Prediction of β-turns and their types using predicted backbone dihedral angles and secondary structures. BMC Bioinformatics, 11, 407 (2010)
  10. Kountouris P & Hirst, JD. Prediction of backbone dihedral angles and protein secondary structure using support vector machines. BMC Bioinformatics, 10, 437 (2009)

Awards

  • Ph.D. Studentship, University of Nottingham, 2006
  • Reviewer for BMC Bioinformatics, PLoS One, BMC Medical Informatics and Decision Making, Journal of Bioinformatics and Computational Biology, BMJ Open
  • Member of the International Society for Computational Biology (ISCB)

 

winner aashe copernicus