Sophia Kossida

Sophia Kossida received her BSc degree in Biology from the University of Crete in Greece in 1995. She was awarded the free-mover Erasmus scholarship and spent a year in Trinity College of Dublin, in Ireland within the Genetics Department, Bioinformatics Unit, where she worked on the genome of Saccharomyces cerevisiae. She received the full MRC scholarship to carry out her DPhil, which she was awarded in 1998 from Oxford University, Merton College in the UK. She did extensive work on sequence analysis of viral genomes (DNA viruses and retroviruses) and deciphered their evolutionary history. She carried out a post-doc at Harvard University, USA at the Molecular & Cellular Biology Department within the FlyBase group, holding a NIH fellowship. She was employed as Senior Scientist within the Target Discovery Group of Lion Bioscience Research Inc.(LBRI) in Cambridge, MA, USA where she worked on the human genome mining project. She was the co-ordinator between LBRI and the Bayer Diabetes group in the US and in Germany as well as the scientist in charge for the patent applications. She moved over to Toulouse, in France where she was appointed Director of Bioinformatics of Endocube, a start-up company focusing in endothelial cells. In parallel, she was appointed Associate Professor of Bioinformatics at the University of Paul Sebatier in Toulouse, France. She joined Novartis in Switzerland in 2002 as Lab head within the Functional Genomics Group. She worked on a few different sequence analysis projects with main focus on proteases. She joined BRF in July 2004 as tenure track research Bioinformatician, Center of Basic Research II, Biotechnology Division. Sophia holds 11 published patent applications. Her team within BRF was appointed the National Contact Point for Bioinformatics for the EMBnet.

Publications

Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs
Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs
Charalampos Moschopoulos, Grigorios Beligiannis, Spiridon Likothanassis, Sophia Kossida. © 2013. 12 pages.
In this paper, a Genetic Algorithm is applied on the filter of the Enhanced Markov Clustering algorithm to optimize the selection of clusters having a high probability to...
Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs
Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs
Charalampos Moschopoulos, Grigorios Beligiannis, Spiridon Likothanassis, Sophia Kossida. © 2012. 13 pages.
In this paper, a Genetic Algorithm is applied on the filter of the Enhanced Markov Clustering algorithm to optimize the selection of clusters having a high probability to...
Quality Issues in Personalized E-Health, Mobile Health and E-Health Grids
Quality Issues in Personalized E-Health, Mobile Health and E-Health Grids
Anastasia N. Kastania, Sophia Kossida. © 2011. 13 pages.
The electronic healthcare in the modern society has the possibility of converting the practice of delivery of health care. Currently, chaos of information is characterizing the...
Monitoring the Trascriptome
Monitoring the Trascriptome
Stilianos Arhondakis, Georgia Tsiliki, Sophia Kossida. © 2011. 19 pages.
The technologies monitoring the transcriptome are under a continuous status of development and implementation, producing high amounts of expression data which require reliable...
Quality Issues in Personalized E-Health, Mobile Health and E-Health Grids
Quality Issues in Personalized E-Health, Mobile Health and E-Health Grids
Anastasia N. Kastania, Sophia Kossida. © 2011. 14 pages.
The electronic healthcare in the modern society has the possibility of converting the practice of delivery of health care. Currently, chaos of information is characterizing the...