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En el tiempo actual la epigenética y la enfermedad periodontal representan temáticas investigativas con cada vez mayor interacción entre sí. Objetivo: describir las características bibliométricas de las publicaciones encontradas en las diferentes bases de datos con relación a la epigenética en enfermedad periodontal. Métodos: este estudio bibliométrico desarrolló con el fin de poder recopilar la información que suministrada por los artículos científicos que trataran sobre epigenética y enfermedad periodontal, los cuales fueron recuperados mediante ecuaciones búsqueda en las bases de datos Pubmed, Scopus, Web of Science y Google académico. Resultados: en los 169 artículos obtenidos para la investigación se observó que los continentes con más aportes al campo de la investigación fueron: Asia, América del Norte, Europa, América del Sur, seguidamente de Oceanía y por último África. De los países que presentaron mayor predominio en publicaciones se encontró a Estados Unidos, China, India, Japón y seguidamente a Brasil. Por otra parte, las instituciones que demostraron mayor aporte al área fueron University of Michigan, University of North Carolina Chapell Hill y Unversity of Campinas, entre otras. Asimismo, las revistas con mayor participación de publicaciones científicas fueron Journal of periodontal dental research y Journal of Peridontology. Por otra parte, se observó que los investigadores con mayor participación en publicaciones fueron De Souza AP y Lena Larsson. Por último, el tipo de estudio más usado por parte de los investigadores fue el de ‘revisión bibliográfica’ seguidamente de ‘casos y controles’. Conclusión: se observó un aumento considerable de las publicaciones entre el año 2008 y el 2018, lo cual indica una preocupación por parte de los investigadores por obtener información más detallada sobre la interacción entre la enfermedad periodontal y la epigenética. At present epigenetics and periodontal disease represent research themes with increasing interaction each. Objective: to describe the bibliometric characteristics of the publications found in the different databases in relation to epigenetics in periodontal disease. Methods: This bibliometric study has been developed in order to gather information provided by scientific articles dealing with epigenetics and periodontal disease, which were retrieved through search equations in the databases Pubmed, Scopus, Web of Science and Academic google. Results: in the 169 articles obtained for the investigation it was observed that the continents with more contributions to the field of the investigation were: Asia, North America, Europe, South America, followed by Oceania and finally Africa. Of the countries with the greatest predominance in publications, the United States, China, India, Japan and then Brazil were found. On the other hand, the institutions that showed greater contribution to the area were the University of Michigan, University of North Carolina Chapell Hill and Unversity of Campinas, among others. Likewise, the journals with greater participation of scientific publications were Journal of periodontal dental research and Journal of Peridontology. On the other hand, it was observed that the researchers with greater participation in publications were De Souza AP and Lena Larsson. Finally, the type of study most used by the researchers was that of 'bibliographic review' followed by 'casescontrol studies'. Conclusion: A considerable increase in publications was observed between 2008 and 2018, indicating a concern on the part of researchers to obtain more detailed information on the interaction between periodontal and epigenetic disease. Odontólogo http://www.ustabuca.edu.co/ustabmanga/presentacion Pregrado

Metagenomic studies aim to reconstruct the structure of microbial communities through the use of DNA sequence data of complex composition. To this end, they generally embed multidimensional data into low dimensional spaces followed by a binning process. The performance of the dimensionality reduction techniques, the clustering methods, and the internal cluster validity indices vary depending on the biological, statistical and computational features that are part of the metagenomic analysis, yet it is seldom evaluated systematically. The explained problematic was explored through an unsupervised binning of metagenomic DNA sequences, based on the Subtractive and Fuzzy c-means algorithms applied to the two- and three-dimensional metagenomic sequences obtained via the Barnes-Hut t-Stochastic Neighbor Embedding (BH-SNE) algorithm in conjunction with Principal Component Analysis (PCA), with the aim of assessing the performance of the BH-SNE including and not including a preliminary PCA, besides the assessment of four Internal Cluster Validity Indices (ICVI) that conditioned the clustering procedure. In addition, the assessment of the ICVIs demonstrated that the Silhouette index had the best performances based on the median values of the F measure. Moreover, Silhouette index was also the most consistent index obtaining the highest values of F median in two- and three-dimensional treatments. In the case of high AAI ranges, the Silhouette index had equal results compared with Calinski-Harabasz index in terms of highest values of F median in three-dimensional treatment, although there were differences between their performance in two-dimensional treatments. In particular, Dunn index generated the worst performances in the low AAI percentages, while the Davies-Bouldin index was the worst in high AAI percentages. Additionally, the Dunn and Davies-Bouldin indices were the most consistent generating the lowest F median values. Moreover, the results of this research suggest that the biology of the metagenomic sequences could have an incidence over the best ICVIs performances. Finally, it was possible to determine that the highest F median values were obtained by the ICVIs in 3D embeddings, with equal results for BH-SNE including and not including preliminary PCA. Furthermore, it was also demonstrated that there was no significance between the results that included or not included a preliminary PCA. In terms of consistency, it was not possible to determine which was the most consistent treatment (2D or 3D embedding with BH-SNE including and not including preliminary PCA) that led the ICVIs to obtaining the best and worst F median results.