{"url":"/dataset/genome-wide-mirna-detection","name":"Genome-wide miRNA detection","full_name":"Genome-wide hairpins datasets of animals and plants for novel miRNA prediction","description_markdown":"We've made available several genome-wide datasets, which can be used for training microRNA (miRNA) classifiers. The hairpin sequences available are from the genomes of: Homo sapiens, Arabidopsis thaliana, Anopheles gambiae, Caenorhabditis elegans and Drosophila melanogaster. Hairpin.s are small RNA sequences that naturaly folds into a hairpin-structure. However, not all hairpins have clear function (they are not miRNAs).\r\n\r\nEach dataset provides the genome data divided into sequences and a set of computed features for predictions. Each sequence has one label: i) “positive”: meaning that it is a well-known pre-miRNA, according to miRBase v21; or ii) “unlabeled”: indicating that the sequence has not (yet) a known function and could be a possible candidate to novel pre-miRNA. Due to the fact that selecting an informative feature set is very important for a good pre-miRNA classifier, a representative feature set with large discriminative power has been calculated and it is provided, as well, for each genome. This feature set contains typical information about sequence, topology and structure.","description_withheld":null,"homepage":"https://www.sciencedirect.com/science/article/pii/S2352340919305633","introduced_date":"2019-08-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons license","url":null},"modalities":[{"name":"Biology","url":"/datasets/modality/biology"},{"name":"Biomedical","url":"/datasets/modality/biomedical"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Genome-wide miRNA detection"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}