Publicaciones

Biología Computacional

Autor
INER
Fecha de publicación
08 de agosto de 2017
Fecha de actualización
25 de julio de 2022
Publicaciones destacadas
  • Villaseñor-Altamirano AB., Moretto M., Maldonado M., Zayas-Del Moral A., Munguía-Reyes A., Romero Y., García-Sotelo JS., Aguilar LA., Aldana-Assad O., Engelen K., Selman M., Collado-Vides J., Balderas-Martínez YI., Medina-Rivera A. PulmonDB: a curated lung disease gene expression database. Sci Rep. 2020 Jan 16;10(1):514. doi: https://doi.org/10.1038/s41598-019-56339-5. PMID: 31949184

  • Publicaciones recientes

    2022
  • Posada-Reyes AB., Balderas-Martínez YI., Ávila Ríos S., Vinuesa P., Fonseca-Coronado S. An Epistatic Network Describes oppA and glgB as Relevant Genes for Mycobacterium tuberculosis. Front Mol Biosci. 2022: 856212. doi: https://doi.org/10.3389/fmolb.2022.856212
  • Ordaz-Arias MA., Díaz-Álvarez L., Zúñiga J., Martínez-Sánchez ME., Balderas-Martínez YI. Cyclic Attractors are Critical for Macrophages Differentation, Heteregeneity, and Plasticity. Front Mol Biosci. 2022; 9: 807228. doi: https://doi.org/10.3389/fmolb.2022.807228. PMID: 35480895

  • 2021
  • Romero-Córdoba SL., Salido-Guadarrama I., Meneses ME., Cosentino G., Iorio MV., Tagliabue E., Torres N., Sánchez-Tapia M., Bonilla M., Castillo I., Petlacalco B., Tovar AR., Martínez-Carrera D. Mexican Ganoderma Lucidum Extracts Decrease Lipogenesis Modulating Transcriptional Metabolic Networks and Gut Microbiota in C57BL/6 Mice Fed with a High-Cholesterol Diet. Mexican Ganoderma Lucidum Extracts Decrease Lipogenesis Modulating Transcriptional Metabolic Networks and Gut Microbiota in C57BL/6 Mice Fed with a High-Cholesterol Diet. Nutrients. 2021; 13(1): 38. doi: https://doi.org/10.3390/nu13010038
  • Calyeca J., Balderas-Martínez YI., Selman M., Pardo A. Transcriptomic profile of the mice aging lung is associated with inflammation and apoptosis as important pathways. Aging (Albany NY). 2021; 13(9): 12378. doi: https://doi.org/https://doi.org/10.18632%2Faging.203039
  • Mireles V., Martínez-Sánchez ME., Winocur JY., Nateras GS. Buscando a los desaparecidos de la “guerra sucia”: ontologías computacionales y la búsqueda de verdad. Ibeforum. 2021; 1(1): e000149. doi: https://doi.org/10.48102/if.2021.v1.n1.149
  • Choreño-Parra JA., Jimenez-Alvarez LA., Cruz-Lagunas A., Rodríguez-Reyna TS, Ramírez-Martínez G., Sandoval-Vega M., Hernández-García DL., Choreño-Parra EM., Balderas-Martínez YI., Martinez-Sanchez ME, Márquez-García E., Sciutto E., Moreno-Rodríguez J., Barreto-Rodríguez JO, Vazquez-Rojas H., Centeno-Saenz GI., Alvarado-Peña N., Salinas-Lara C., Sanchez-Garibay C., Galeana-Cadena D, Hernandez G., Mendoza-Milla C., Domínguez A., Granados J., Mena-Hernandez L., Pérez-Buenfil LA., Domínguez-Cheritt G., Cabello-Gutierrez C., Luna-Rivero C., Salas-Hernandez J., Santillán-Doherty P., Regalado J., Hernandez-Martinez A., Orozco L., Ávila-Moreno F., Garcia-Latorre EA., Hernández-Cárdenas CM, Khader SA, Zlotnik A., Zuniga J. Clinical and immunological factors that distinguish COVID-19 from pandemic influenza A (H1N1). Frontiers in Immunology. 2021; 9: 593595. doi: https://doi.org/10.3389/fimmu.2021.593595
  • Romero-Córdoba SL., Salido-Guadarrama I., Rebollar-Vega R., Bautista-Piña V., Dominguez-Reyes C., Tenorio-Torres A., Villegas-Carlos F, Fernandez-Lopez JC., Uribe-Figueroa L., Alfaro-Ruiz L., Hidalgo-Miranda A. Comprehensive omic characterization of breast cancer in Mexican-Hispanic women. Nature Communications. 2021; 12: 2245. doi: https://doi.org/10.1038/s41467-021-22478-5
  • Serrano SA., Santiago E., Martinez-Carranza J., Morales EF., Sucar LE. Knowledge-Based Hierarchical POMDPs for Task Planning. J Intell Robot Syst. 2021: 101, 82. doi: https://doi.org/10.1007/s10846-021-01348-8

  • 2020
  • Ortiz-Quintero B., Buendía-Roldán I., Ramírez-Salazar EG., Balderas-Martínez YI., Ramírez-Rodríguez SL., Martínez-Espinosa K., Selman M. Circulating microRNA signature associated to interstitial lung abnormalities in respiratory asymptomatic subjects. Cells. 2020: 9(6): 1556. doi: https://doi.org/10.3390/cells9061556
  • Medina-Bastidas D., Guzmán-Huerta M., Borboa-Olivares H., Ruiz-Cruz C., Parra-Hernández S., Flores-Pliego A., Salido-Guadarrama I., Camargo-Marín L., Arambula-Meraz E., Estrada-Gutierrez G. Placental Microarray Profiling Reveals Common mRNA and lncRNA Expression Patterns in Preeclampsia and Intrauterine Growth Restriction. Int J Mol Sci. 2020; 21(10): 3597; https://doi.org/10.3390/ijms21103597

  • 2019
  • Pedroza-Torres A., Romero-Córdoba SL., Justo-Garrido M., Salido-Guadarrama I., Rodríguez-Bautista R., Montaño S., Muñiz-Mendoza R., Arriaga-Canon C., Fragoso-Ontiveros V., Álvarez-Gómez RM., Hernández G., Herrera LA. MicroRNAs in Tumor Cell Metabolism: Roles and Therapeutic Opportunities. Frontiers in Oncology. 2019; 9: 1404. https://doi.org/10.3389/fonc.2019.01404
  • Negreros M., Hagood JS., Espinoza CR., Balderas-Martínez YI., Selman M., Pardo A. Transforming growth factor beta 1 induces methylation changes in lung fibroblasts. PLOS ONE. 2019; 14(10): e0224841. doi: https://doi.org/10.1371/journal.pone.0223512

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