20.500.12556/DiRROS-21122 AmiCa atlas of miRNA-gene correlations in cancer The increasing availability of RNA sequencing data has opened up numerous opportunities to analyze various RNA interactions, including microRNA-target interactions (MTIs). In response to the necessity for a specialized tool to study MTIs in cancer and normal tissues, we developed AmiCa (https://amica.omics.si/), a web server designed for comprehensive analysis of mature microRNA (miRNA) and gene expression in 32 cancer types. Data from 9498 tumor samples and 626 normal samples from The Cancer Genome Atlas were obtained through the Genomic Data Commons and used to calculate differential expression and miRNA-target gene (MTI) correlations. AmiCa provides data on differential expression of miRNAs/genes for cancers for which normal tissue samples were available. In addition, the server calculates and presents correlations separately for tumor and normal samples for cancers for which normal samples are available. Furthermore, it enables the exploration of miRNA/gene expression in all cancer types with different miRNA/gene expression. In addition, AmiCa includes a ranking system for genes and miRNAs that can be used to identify those that are particularly highly expressed in certain cancers compared to other cancers, facilitating targeted and cancer-specific research. Finally, the functionality of AmiCa is illustrated by two case studies. miRNA gene expression cancer correlation gene prioritization miRNA gen izražanje rak (medicina) korelacija prednostno določanje genov true false true Angleški jezik Slovenski jezik Neznano 2024-12-31 11:53:28 2024-12-31 11:53:29 2025-01-01 03:37:35 0000-00-00 00:00:00 2024 0 0 Nasl. z nasl. zaslona; Opis vira z dne 7. 6. 2024; str. 2277-2288 Vol. 23 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2024-05-21 577.2 2001-0370 10.1016/j.csbj.2024.05.030 198138371 https://www.sciencedirect.com/science/article/pii/S2001037024001740?via%3Dihub 1 79089719-c765-11ef-ba3f-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=29944 RAZ_Hauptman_Nina_2024.pdf RAZ_Hauptman_Nina_2024.pdf 1 AE7491A2462DDFF629573672749AB3AE 77ca8c2d828c5c91247288c3a64502568488236b6442a08f76e9a7f7fa6b5f9d da64ed1d-c765-11ef-ba3f-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=29945 Kmetijski inštitut Slovenije 0 0 0