Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Kossida Sophia"'
Autor:
Michalopoulos Ioannis, Papachristoudis Georgios, Zotos Pantelis, Roubelakis Maria G, Pappa Kalliopi I, Anagnou Nicholas P, Kossida Sophia
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 6, p S20 (2009)
Abstract Background microRNAs (miRNAs) are single-stranded RNA molecules of about 20–23 nucleotides length found in a wide variety of organisms. miRNAs regulate gene expression, by interacting with target mRNAs at specific sites in order to induce
Externí odkaz:
https://doaj.org/article/f130534f3a8c41d980364abf13dedcdf
Autor:
Michalopoulos Ioannis, Pavlopoulos Georgios A, Malatras Apostolos, Karelas Alexandros, Kostadima Myrto-Areti, Schneider Reinhard, Kossida Sophia
Publikováno v:
BMC Research Notes, Vol 5, Iss 1, p 265 (2012)
Abstract Background Bioinformatics and high-throughput technologies such as microarray studies allow the measure of the expression levels of large numbers of genes simultaneously, thus helping us to understand the molecular mechanisms of various biol
Externí odkaz:
https://doaj.org/article/e4240e3a0da2431392f08ccda7c0a954
Autor:
Moschopoulos Charalampos N, Pavlopoulos Georgios A, Iacucci Ernesto, Aerts Jan, Likothanassis Spiridon, Schneider Reinhard, Kossida Sophia
Publikováno v:
BMC Research Notes, Vol 4, Iss 1, p 549 (2011)
Abstract Background Protein-Protein interactions (PPI) play a key role in determining the outcome of most cellular processes. The correct identification and characterization of protein interactions and the networks, which they comprise, is critical f
Externí odkaz:
https://doaj.org/article/1de2cc4d67d94c449edbedbaad595509
Autor:
Pissis Solon P, Iliopoulos Costas S, Frousios Kimon, Arhondakis Stilianos, Tischler German, Kossida Sophia
Publikováno v:
BMC Genomics, Vol 12, Iss 1, p 511 (2011)
Abstract Background The availability of fully sequenced genomes and the implementation of transcriptome technologies have increased the studies investigating the expression profiles for a variety of tissues, conditions, and species. In this study, us
Externí odkaz:
https://doaj.org/article/214f5d58b3074e1e8fdec6dada15e614
Publikováno v:
BMC Evolutionary Biology, Vol 11, Iss 1, p 193 (2011)
Abstract Background Domain or gene fusion analysis is a bioinformatics method for detecting gene fusions in one organism by comparing its genome to that of other organisms. The occurrence of gene fusions suggests that the two original genes that part
Externí odkaz:
https://doaj.org/article/1efb3b107c6e49e394ffbddba0de3317
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 239 (2011)
Abstract Background Recent technological advances applied to biology such as yeast-two-hybrid, phage display and mass spectrometry have enabled us to create a detailed map of protein interaction networks. These interaction networks represent a rich,
Externí odkaz:
https://doaj.org/article/42d4ec137e8b4f12a2dbe8ed1b5277ca
Autor:
Pavlopoulos Georgios A, Secrier Maria, Moschopoulos Charalampos N, Soldatos Theodoros G, Kossida Sophia, Aerts Jan, Schneider Reinhard, Bagos Pantelis G
Publikováno v:
BioData Mining, Vol 4, Iss 1, p 10 (2011)
Abstract Understanding complex systems often requires a bottom-up analysis towards a systems biology approach. The need to investigate a system, not only as individual components but as a whole, emerges. This can be done by examining the elementary c
Externí odkaz:
https://doaj.org/article/c1d9c9ee6bf543fb9a74a337169733cc
Publikováno v:
Biology Direct, Vol 5, Iss 1, p 49 (2010)
Abstract Background Wnt5 genes belong to the large Wnt family, encoding proteins implicated into several tumorigenic and developmental processes. Phylogenetic analyses showed that Wnt5 gene has been duplicated at the divergence time of gnathostomata
Externí odkaz:
https://doaj.org/article/5216225f75fa4bd193889a302bde42a0
Akademický článek
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Autor:
Carvalho, C. Sofia, Vlachakis, Dimitrios, Tsiliki, Georgia, Megalooikonomou, Vasileios, Kossida, Sophia
We developed a novel method based on the Fourier analysis of protein molecular surfaces to speed up the analysis of the vast structural data generated in the post-genomic era. This method computes the power spectrum of surfaces of the molecular elect
Externí odkaz:
http://arxiv.org/abs/1310.6980