Abstract
Genetics has known an extraordinary development in the last years, with a reduction of several orders of magnitude in the costs and the times required to obtain the sequence of nucleotides corresponding to a whole genome, leading to the availability of huge amounts of genomic data. While these data are essentially very long strings, several graph-based representations have been introduced to perform efficiently some operations on a single genome or on a set of related genomes. In this paper we will review the most important types of genetic graphs, together with the algorithmic challenges and open issues related to their use.
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Carletti, V., Foggia, P., Garrison, E., Greco, L., Ritrovato, P., Vento, M. (2019). Graph-Based Representations for Supporting Genome Data Analysis and Visualization: Opportunities and Challenges. In: Conte, D., Ramel, JY., Foggia, P. (eds) Graph-Based Representations in Pattern Recognition. GbRPR 2019. Lecture Notes in Computer Science(), vol 11510. Springer, Cham. https://doi.org/10.1007/978-3-030-20081-7_23
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DOI: https://doi.org/10.1007/978-3-030-20081-7_23
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