{"id":11353,"date":"2026-01-12T11:44:36","date_gmt":"2026-01-12T10:44:36","guid":{"rendered":"https:\/\/semmelweis.hu\/bioinformatika\/?page_id=11353"},"modified":"2026-09-24T10:18:04","modified_gmt":"2026-09-24T08:18:04","slug":"2026-ban-megjelent-publikacioink","status":"publish","type":"page","link":"https:\/\/semmelweis.hu\/bioinformatika\/2026-ban-megjelent-publikacioink\/","title":{"rendered":"2026-ban megjelent publik\u00e1ci\u00f3ink"},"content":{"rendered":"
    \n
  1. Bartha, \u00c1., Gy\u0151rffy, B<\/strong>., 2026. TNMplot: An enhanced platform for pharmacological target identification through cross-stage and pan-cancer gene expression analysis. J. Pharmacol.<\/strong> https:\/\/doi.org\/10.1111\/bph.70390<\/a><\/li>\n
  2. Fekete, J.T.,<\/strong> Kom\u00f3csi, A., Gy\u0151rffy, B<\/strong>., 2026. NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research. J. Pharmacol<\/strong>. https:\/\/doi.org\/10.1111\/bph.70391<\/a><\/li>\n
  3. Gy\u0151rffy, B., Weltz, B.<\/strong>, Szab\u00f3, I., 2026. A global interdisciplinary platform for academic age-normalized researcher evaluation. https:\/\/doi.org\/10.1007\/s11192-026-05608-y<\/a><\/li>\n
  4. L\u00f3zsa, R., Szikriszt, B., N\u00e9meth, E., Szeltner, Z., Martinek, R., P\u00f3ti, \u00c1., Feik, T., Kollarics, S., M\u00e1rkus, B.G., Kanu, N., Sztupinszki, Z., Simon, F., Shibata, T., Swanton, C., Szallasi, Z<\/strong>., Richardson, A.L., Sz\u00fcts, D., 2026. Long-term exposure to the ethanol-derived metabolite acetaldehyde elevates structural genomic alterations but not base substitutions. Biol<\/strong>. 9, 243. https:\/\/doi.org\/10.1038\/s42003-026-09521-1<\/a><\/li>\n
  5. Meler, A., Gusi-Vives, M., de Barrios, O., Azagra, A., Collazo, O., Melchor, J., Del Monte-Monge, A., Gy\u0151rffy, B<\/strong>., Verdu-Bou, M., Navarro, J.-T., Mart\u00edn-Subero, J.I., Rou\u00e9, G., Ramiro, A.R., Roa, S., Parra, M., 2026. HDAC7 is a key factor for the germinal center reaction and its underexpression is associated with DLBCL prognosis. J. Immunol<\/strong>. 215, vkag015. https:\/\/doi.org\/10.1093\/jimmun\/vkag015<\/li>\n
  6. Menyhart, O., M\u00fcller, D., Gy\u0151rffy, B.,<\/strong> DNA methylation-mediated extracellular matrix gene silencing in colorectal cancer. Semin. Oncol<\/strong>. 53, 152469. https:\/\/doi.org\/10.1016\/j.seminoncol.2026.152469<\/a><\/li>\n
  7. Nugnes, M.V., Bouhraoua, K.E.A., Zoubiri, M., Pancsa, R., Fich\u00f3, E., DisProt Consortium,<\/strong> Tompa, P., Piovesan, D., Tosatto, S.C.E., Aspromonte, M.C., 2026. DisProt in 2026<\/strong>: enhancing intrinsically disordered proteins accessibility, deposition, and annotation. Nucleic Acids Res. 54, D383\u2013D392. https:\/\/doi.org\/10.1093\/nar\/gkaf1175<\/a><\/li>\n
  8. P\u00f3sfai, B., Jenei, A., Forika, G., Fintha, A., S\u00e1pi, Z., Somor\u00e1cz, \u00c1., D\u00e9nes, B., Salamon, F., Eizler, K.V., Giba, N., Semj\u00e9n, D., Illy\u00e9s, I., Kov\u00e1cs, K.A., Munk\u00e1csy, G.,<\/strong> Papp, J., S\u00e1nta, F., Butz, H., Kuthi, L., 2026. Hemangioblastoma of the Kidney-A Comprehensive Clinical, Pathological, and Genetic Analysis of Four Cases. APMIS Acta Pathol<\/strong>. Microbiol. Immunol. Scand. 134, e70147. https:\/\/doi.org\/10.1111\/apm.70147<\/a><\/li>\n
  9. Szepesi-Nagy, I., Borosta, R., Szabo, Z., Tusnady, G<\/strong>.E., Pongor, L.S., Rona, G., 2026. Frag\u2019n\u2019Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments. BMC Bioinformatics<\/strong> 27, 18. https:\/\/doi.org\/10.1186\/s12859-025-06305-y<\/a><\/li>\n
  10. Ungvari, Z., Fekete, J.T<\/strong>., Fekete, M., Lehoczki, A., Gulej, R., Sorond, F., Liotta, E., Prodan, C.I., Toth, P., Kiss, C., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026a. Mortality, functional outcome, and bleeding risk after early versus delayed thrombectomy. GeroScience <\/strong>48, 2029\u20132042. https:\/\/doi.org\/10.1007\/s11357-025-01915-z<\/a><\/li>\n
  11. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T., Munk\u00e1csy, G., <\/strong>Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026b. No detectable impact of short-term treatment delays on lung cancer survival. GeroScience<\/strong> 48, 793\u2013805. https:\/\/doi.org\/10.1007\/s11357-025-01684-9<\/a><\/li>\n
  12. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T.,<\/strong> Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026c. Depression increases cancer mortality by 23-83%: a meta-analysis of 65 studies across five major cancer types. GeroScience<\/strong> 48, 293\u2013309. https:\/\/doi.org\/10.1007\/s11357-025-01676-9<\/a><\/li>\n
  13. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Munk\u00e1csy, G.,<\/strong> Scaffidi, P., Bonaldi, T., Fekete, J.T.,<\/strong> Bianchini, G., Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026d. Quantifying the impact of treatment delays on breast cancer survival outcomes: a comprehensive meta-analysis. GeroScience <\/strong>48, 1173\u20131187. https:\/\/doi.org\/10.1007\/s11357-025-01719-1<\/a><\/li>\n
  14. Ungvari, Z., Menyhart, O.,<\/strong> Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B<\/strong>., 2026e. PCSK9 expression and cancer survival: a prognostic biomarker at the intersection of oncology and geroscience. GeroScience <\/strong>48, 435\u2013449. https:\/\/doi.org\/10.1007\/s11357-025-01733-3<\/a><\/li>\n
  15. Ungvari, Z., Menyhart, O<\/strong>., Lehoczki, A., Fekete, M., Fazekas-Pongor, V., Ocana, A., Varga, P., Gy\u0151rffy, B<\/strong>., 2026f. NRF2 pathway activation predicts poor prognosis in lung cancer: a cautionary note on antioxidant interventions. GeroScience<\/strong> 48, 1345\u20131356. https:\/\/doi.org\/10.1007\/s11357-025-01736-0<\/a><\/li>\n
  16. Ungv\u00e1ri, Z., Menyhart, O<\/strong>., Ocana, A., Fekete, M., Lehoczki, A., Gy\u0151rffy, B.,<\/strong> Senescence-associated gene signatures predict survival in lung cancer: a multi-cohort analysis. GeroScience<\/strong> 48, 577\u2013590. https:\/\/doi.org\/10.1007\/s11357-025-01894-1<\/a><\/li>\n
  17. Ungvari, Z., Menyh\u00e1rt, O<\/strong>., Ocana, A., Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B.,<\/strong> Subtype-specific sirtuin expression signatures link mitochondrial-epigenetic networks to breast cancer survival. GeroScience<\/strong>. https:\/\/doi.org\/10.1007\/s11357-026-02143-9<\/a><\/li>\n
  18. Huffman, B.M., Diossy, M., Yurgelun, M.B., Horick, N., Li, Y.Y., Crowdis, J., Nguyen, H., Parmar, K., Kochupurakkal, B.S., Vonk, L., Lam, H., Ramsey, K., Andrews, E., Loeb, S.C., Culnane, L., Biller, L.H., Bullock, A.J., Enzinger, A., Giannakis, M., Jackson, N.A., Ng, K., Nowak, J.A., Patel, A.K., Perez, K.J., Rattani, A., Rubinson, D.A., Schlechter, B.L., Singh, H., Cai, M., Raghavan, S., Clark, J.W., Peters, M.L., Weipert, C.M., Wolpin, B.M., D\u2019Andrea, A.D., Shapiro, G.I., Aguirre, A.J., Szallasi, Z<\/strong>., Cleary, J.M., 2026. A Phase II Trial of Niraparib in Patients with Advanced Pancreatic Cancer Harboring Pathogenic Variants in ATM, BRCA1, BRCA2, PALB2, and CHEK2. Clin. Cancer Res. 32, 1666\u20131677. https:\/\/doi.org\/10.1158\/1078-0432.CCR-24-3766<\/a><\/li>\n
  19. Kuffa, K., Lang\u00f3, T., Czir\u00f3k, A., T\u00e1rnoki-Z\u00e1ch, J., B\u0151sze, S., L\u00e1szl\u00f3, L., Vas, V., Szab\u00f3, Z., Tusn\u00e1dy, G.E<\/strong>., 2026. Decoding the Apical\u2013Basal Surfaceome of Colon Epithelial Cells via Side-Selective Biotinylation. Biomolecules 16, 865. https:\/\/doi.org\/10.3390\/biom16060865<\/a><\/li>\n
  20. L\u00f3zsa, R., Szikriszt, B., N\u00e9meth, E., Szeltner, Z., Martinek, R., P\u00f3ti, \u00c1., Feik, T., Kollarics, S., M\u00e1rkus, B.G., Kanu, N., Sztupinszki, Z., Simon, F., Shibata, T., Swanton, C., Szallasi, Z<\/strong>., Richardson, A.L., Sz\u00fcts, D., 2026. Long-term exposure to the ethanol-derived metabolite acetaldehyde elevates structural genomic alterations but not base substitutions. Commun. Biol. 9, 243. https:\/\/doi.org\/10.1038\/s42003-026-09521-1<\/a><\/li>\n
  21. Meler, A., Gusi-Vives, M., de Barrios, O., Azagra, A., Collazo, O., Melchor, J., Del Monte-Monge, A., Gy\u0151rffy, B<\/strong>., Verdu-Bou, M., Navarro, J.-T., Mart\u00edn-Subero, J.I., Rou\u00e9, G., Ramiro, A.R., Roa, S., Parra, M., 2026. HDAC7 is a key factor for the germinal center reaction and its underexpression is associated with DLBCL prognosis. J. Immunol. 215, vkag015. https:\/\/doi.org\/10.1093\/jimmun\/vkag015<\/a><\/li>\n
  22. Menyhart, O., M\u00fcller, D., Gy\u0151rffy, B.,<\/strong> DNA methylation-mediated extracellular matrix gene silencing in colorectal cancer. Semin. Oncol. 53, 152469. https:\/\/doi.org\/10.1016\/j.seminoncol.2026.152469<\/a><\/li>\n
  23. Munkacsy, G<\/strong>., Lotz, G., Tokes, A.M., Santarpia, L., Gyorffy, B<\/strong>., 2026. Immune landscape in PD-L1- and TROP2-positive triple-negative breast cancer. npj Breast Cancer.<\/li>\n
  24. Murmu, A., Gy\u0151rffy, B<\/strong>., 2026. Targeting the HMGB1-IL32 pathway to alleviate T cell exhaustion in epithelial ovarian cancer. GeroScience 48, 3335\u20133350. https:\/\/doi.org\/10.1007\/s11357-025-01963-5<\/a><\/li>\n
  25. Murmu, A., L\u00e1nczky, A., Gy\u0151rffy, B.,<\/strong> Integration of a clinical survival model into the KM-plotter to identify high-risk populations in breast cancer. Sci. Rep. https:\/\/doi.org\/10.1038\/s41598-026-60848-5<\/a><\/li>\n
  26. Nagy, G.R., Munk\u00e1csy, G., Murmu, A.,<\/strong> Longo, G., L\u00f3pez, L.I., Cirigliano, V., Gy\u0151rffy, B<\/strong>., 2026. Beyond the linear genome: how reference bias threatens preventive medicine and geroscience. GeroScience. https:\/\/doi.org\/10.1007\/s11357-026-02436-z<\/a><\/li>\n
  27. Nugnes, M.V., Bouhraoua, K.E.A., Zoubiri, M., Pancsa, R., Fich\u00f3, E., DisProt Consortium, Tompa, P., Piovesan, D., Tosatto, S.C.E., Aspromonte, M.C., Monzon, A.M., Melo, A.M., Salladini, E., Leonardi, E., Quaglia, F., Nasiribavil, D., Ghafouri, H., Gobeill, J., Pasche, E., Ruch, P., Van Rijen, P., Dobson, L<\/strong>., Schiavina, M., Cordero, T., K\u00e1lm\u00e1n, Z.E., Castro, X., Iglesias, V., Rem\u00e9nyi, I., Mehdiabadi, M., Erd\u0151s, G., Doszt\u00e1nyi, Z., 2026. DisProt in 2026: enhancing intrinsically disordered proteins accessibility, deposition, and annotation. Nucleic Acids Res. 54, D383\u2013D392. https:\/\/doi.org\/10.1093\/nar\/gkaf1175<\/a><\/li>\n
  28. Pachinger-Molnar, B., Menyhart, O.,<\/strong> Systemic immune-inflammation index as a prognostic marker in pancreatic ductal adenocarcinoma: a metaanalysis. Cancer Treat. Res. Commun. 48, 101326. https:\/\/doi.org\/10.1016\/j.ctarc.2026.101326<\/a><\/li>\n
  29. Pagano, F., Girone, C., Borrelli, F., Romaniello, D., Gelfo, V., Filippini, D.M., Morselli, A., Mazzeschi, M., Querzoli, G., Ambrosi, F., Miano, C., D’Uva, G., Fazi, F., Chaluvally-Raghavan, P., Sgarzi, M., Gy\u0151rffy, B.,<\/strong> Ardizzoni, A., Lauriola, M., 2026. IL-1-mediated inflammation promotes metastatic dissemination and resistance to EGFR-targeted therapy. npj Precision Oncology.<\/li>\n
  30. P\u00f3sfai, B., Jenei, A., Forika, G., Fintha, A., S\u00e1pi, Z., Somor\u00e1cz, \u00c1., D\u00e9nes, B., Salamon, F., Eizler, K.V., Giba, N., Semj\u00e9n, D., Illy\u00e9s, I., Kov\u00e1cs, K.A., Munk\u00e1csy, G<\/strong>., Papp, J., S\u00e1nta, F., Butz, H., Kuthi, L., 2026. Hemangioblastoma of the Kidney\u2014A Comprehensive Clinical, Pathological, and Genetic Analysis of Four Cases. APMIS 134, e70147. https:\/\/doi.org\/10.1111\/apm.70147<\/a><\/li>\n
  31. Posta, M., Figler, A., Dobolyi, Z., Gy\u0151rffy, B<\/strong>., 2026. A Secure, Scalable Large Language Model\u2013Based System (CIDER) for High-Throughput Clinical Data Extraction From Medical Reports: Retrospective Validation Study. J. Med. Internet Res. 28, e95780. https:\/\/doi.org\/10.2196\/95780<\/a><\/li>\n
  32. Surmann, H., Bartha, A., Gy\u0151rffy, B.,<\/strong> Kiesel, L., Hanker, L., G\u00f6tte, M., 2026. Prognostic influence of small leucine-rich proteoglycans on serous ovarian cancer. J. Cancer Res. Clin. Oncol. 152, 117. https:\/\/doi.org\/10.1007\/s00432-026-06529-2<\/a><\/li>\n
  33. Szepesi-Nagy, I., Borosta, R., Szabo, Z., Tusnady, G.E.<\/strong>, Pongor, L.S., Rona, G., 2026. Frag\u2019n\u2019Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments. BMC Bioinformatics 27, 18. https:\/\/doi.org\/10.1186\/s12859-025-06305-y<\/a><\/li>\n
  34. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T<\/strong>., Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026. Depression increases cancer mortality by 23\u201383%: a meta-analysis of 65 studies across five major cancer types. GeroScience 48, 293\u2013309. https:\/\/doi.org\/10.1007\/s11357-025-01676-9<\/a><\/li>\n
  35. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T., Munk\u00e1csy, G.,<\/strong> Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026. No detectable impact of short-term treatment delays on lung cancer survival. GeroScience 48, 793\u2013805. https:\/\/doi.org\/10.1007\/s11357-025-01684-9<\/a><\/li>\n
  36. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Munk\u00e1csy, G.,<\/strong> Scaffidi, P., Bonaldi, T., Fekete, J.T.,<\/strong> Bianchini, G., Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026. Quantifying the impact of treatment delays on breast cancer survival outcomes: a comprehensive meta-analysis. GeroScience 48, 1173\u20131187. https:\/\/doi.org\/10.1007\/s11357-025-01719-1<\/a><\/li>\n
  37. Ungvari, Z., Menyhart, O<\/strong>., Lehoczki, A., Fekete, M., Fazekas-Pongor, V., Ocana, A., Varga, P., Gy\u0151rffy, B<\/strong>., 2026. NRF2 pathway activation predicts poor prognosis in lung cancer: a cautionary note on antioxidant interventions. GeroScience 48, 1345\u20131356. https:\/\/doi.org\/10.1007\/s11357-025-01736-0<\/a><\/li>\n
  38. Ungvari, Z., Menyhart, O., <\/strong>Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B<\/strong>., 2026. PCSK9 expression and cancer survival: a prognostic biomarker at the intersection of oncology and geroscience. GeroScience 48, 435\u2013449. https:\/\/doi.org\/10.1007\/s11357-025-01733-3<\/a><\/li>\n
  39. Ungvari, Z., Fekete, J.T<\/strong>., Fekete, M., Lehoczki, A., Gulej, R., Sorond, F., Liotta, E., Prodan, C.I., Toth, P., Kiss, C., Ungvari, A., Gy\u0151rffy, B.,<\/strong> Mortality, functional outcome, and bleeding risk after early versus delayed thrombectomy. GeroScience 48, 2029\u20132042. https:\/\/doi.org\/10.1007\/s11357-025-01915-z<\/a><\/li>\n
  40. Ungvari, Z., Menyh\u00e1rt, O<\/strong>., Ocana, A., Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B<\/strong>., 2026. Subtype-specific sirtuin expression signatures link mitochondrial-epigenetic networks to breast cancer survival. GeroScience 48, 3315\u20133334. https:\/\/doi.org\/10.1007\/s11357-026-02143-9<\/a><\/li>\n
  41. Ungvari, Z., Fekete, M., Varga, P., Lehoczki, A., Grosso, G., Godos, J., Murmu, A<\/strong>., Ocana, A., Kiss, C., Gy\u0151rffy, B<\/strong>., 2026. Adherence to the Mediterranean diet is associated with reduced risk of head and neck, gastric, and liver cancers: a systematic review and meta-analysis. GeroScience. https:\/\/doi.org\/10.1007\/s11357-026-02525-z<\/a><\/li>\n
  42. Ungv\u00e1ri, Z., Menyhart, O<\/strong>., Ocana, A., Fekete, M., Lehoczki, A., Gy\u0151rffy, B<\/strong>., 2026. Senescence-associated gene signatures predict survival in lung cancer: a multi-cohort analysis. GeroScience 48, 577\u2013590. https:\/\/doi.org\/10.1007\/s11357-025-01894-1<\/a><\/li>\n
  43. Varga, D., Raduly, Z., Boros-Olah, B., Nagy, E., Karanyi, Z., Halasz, L., Balint, B.L<\/strong>., Vamosi, G., Toth, E., Bai, P., Santangelo, S., Bossolasco, P., Ratti, A., Geli, V., Pommier, Y., Szekvolgyi, L., 2026. TOP1MT rs2293925 is an enhancer-active regulatory SNP that shapes mitochondrial R-loop dynamics. FEBS J. https:\/\/doi.org\/10.1111\/febs.70649<\/a><\/li>\n
  44. Hajd\u00fa, N., Ludvig, Z., R\u00e1cz, R., Istenes, I., B\u00e9keffy, M., V\u00e1gi, O.E., K\u00f6rei, A.E., Horv\u00e1th, E., T\u00f3bi\u00e1s, B., Ill\u00e9s, A., Pik\u00f3, H., K\u00f3sa, J.P., \u00c1rvai, K., Posta, M.,<\/strong> Lakatos, P.A., Kempler, P., Putz, Z., Tordai, D.Z., 2026. Associations Between Previously Identified Genetic Variants and Clinical Phenotypes of Diabetic Neuropathy in Type 2 Diabetes: An Exploratory Analysis of the Discovery Cohort. Int. J. Mol. Sci. 27, 5487. https:\/\/doi.org\/10.3390\/ijms27125487<\/a><\/li>\n<\/ol>\n

    Utols\u00f3 friss\u00edt\u00e9s: 2026.09.24.<\/p>\n

     <\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    Bartha, \u00c1., Gy\u0151rffy, B., 2026. TNMplot: An enhanced platform for pharmacological target identification through cross-stage and pan-cancer gene expression analysis. J. Pharmacol. https:\/\/doi.org\/10.1111\/bph.70390<\/a> Fekete, J.T., Kom\u00f3csi, A., Gy\u0151rffy, B., 2026. NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research. J. Pharmacol. https:\/\/doi.org\/10.1111\/bph.70391<\/a> Gy\u0151rffy, B., Weltz, B., Szab\u00f3, I., 2026. A global interdisciplinary platform for …<\/p>\n","protected":false},"author":102440,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-11353","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/users\/102440"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/comments?post=11353"}],"version-history":[{"count":10,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353\/revisions"}],"predecessor-version":[{"id":11605,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353\/revisions\/11605"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media?parent=11353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/categories?post=11353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/tags?post=11353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}