Abstract
In recent years there has been an increasingly amount of data stored in biomedical Databases due to the breakthroughs in biology and bioinformatics, biomedical information is growing exponentially making efficient information retrieval from scientist more and more challenging. New Scientific fields as Bioinformatics seem to be the tool needed to extract scientifically important data based on experimental results and information provided by papers and journals. In this paper we are going to implement a custom made IT system in order to find connections between genes in the breast cancer pathways such the BRCA1 with the electrical energy in the human brain with UGDH gene via the TP53 tumor gene. The proposed system will be able to identify the appearance of each gene ID and compare the coexistence of two genes in PubMed articles/papers. The final system could become a useful tool against the struggle of scientists and medical professionals in the near future.
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Martzoukos, Y., Papavlasopoulos, S., Poulos, M., Syrrou, M. (2017). Biobibliometrics (UGDH-TP53–BRCA1) Genes Connections in the Possible Relationship Between Breast Cancer and EEG. In: Vlamos, P. (eds) GeNeDis 2016. Advances in Experimental Medicine and Biology, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-319-57379-3_10
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DOI: https://doi.org/10.1007/978-3-319-57379-3_10
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