Please use this identifier to cite or link to this item:
doi:10.22028/D291-36011
Title: | miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database |
Author(s): | Kehl, Tim Kern, Fabian Backes, Christina Fehlmann, Tobias Stöckel, Daniel Meese, Eckart Lenhof, Hans-Peter Keller, Andreas |
Language: | English |
Title: | Nucleic Acids Research |
Volume: | 48 |
Issue: | D1 |
Pages: | D142–D147 |
Publisher/Platform: | Oxford University Press |
Year of Publication: | 2019 |
DDC notations: | 004 Computer science, internet 610 Medicine and health |
Publikation type: | Journal Article |
Abstract: | Since the initial release of miRPathDB, tremendous progress has been made in the field of microRNA (miRNA) research. New miRNA reference databases have emerged, a vast amount of new miRNA candidates has been discovered and the number of experimentally validated target genes has increased considerably. Hence, the demand for a major upgrade of miRPathDB, including extended analysis functionality and intuitive visualizations of query results has emerged. Here, we present the novel release 2.0 of the miRNA Pathway Dictionary Database (miRPathDB) that is freely accessible at https://mpd.bioinf.uni-sb.de/. miRPathDB 2.0 comes with a ten-fold increase of pre-processed data. In total, the updated database provides putative associations between 27 452 (candidate) miRNAs, 28 352 targets and 16 833 pathways for Homo sapiens, as well as interactions of 1978 miRNAs, 24 898 targets and 6511 functional categories for Mus musculus. Additionally, we analyzed publications citing miRPathDB to identify common use-cases and further extensions. Based on this evaluation, we added new functionality for interactive visualizations and down-stream analyses of bulk queries. In summary, the updated version of miRPathDB, with its new custom-tailored features, is one of the most comprehensive and advanced resources for miRNAs and their target pathways. |
DOI of the first publication: | 10.1093/nar/gkz1022 |
Link to this record: | urn:nbn:de:bsz:291--ds-360114 hdl:20.500.11880/32807 http://dx.doi.org/10.22028/D291-36011 |
ISSN: | 1362-4962 0305-1048 |
Date of registration: | 19-Apr-2022 |
Description of the related object: | Supplementary data |
Related object: | https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/nar/48/D1/10.1093_nar_gkz1022/1/gkz1022_supplemental_files.zip?Expires=1653379032&Signature=G1yoszDe-oHBMP0ZZlwKKTJpBHJHbMLAJ31Gi2fe6oW0rHZdhG568nMIOM41WQsbmAwPmOJOsgHfhHwbzjHP80-Mi-P-p~mDbObAnHESHBo1VkW2Saqjwqhsd2WgAQK-wvmRcZmR3mUH~cvP1sCCiRThcejLMlbxFHthyOvTWYn4g2Bz~d0qlwDiV5UD7yadaJCh9JYQMVS96ufh0RG7dc0V-5DIph1ZO9K08AgK-0QA6aqgYIaKvKBuU7slheJyZxL8LiOQ3nYltxR4~zcjDyXRQ0GK0NW0FQ6gDZLuntdAP6fj6IMjr8bx32OCb9KJxGhZgcJ0Amj~H6iQUc~YEQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA |
Faculty: | M - Medizinische Fakultät MI - Fakultät für Mathematik und Informatik |
Department: | M - Humangenetik M - Medizinische Biometrie, Epidemiologie und medizinische Informatik MI - Informatik |
Professorship: | M - Univ.-Prof. Dr. Andreas Keller M - Prof. Dr. Eckhart Meese MI - Prof. Dr. Hans-Peter Lenhof |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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gkz1022.pdf | 906,35 kB | Adobe PDF | View/Open |
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