{"entity": "publication", "iuid": "55cf219b9472433482eadeccf52171c8", "timestamp": "2026-08-26T22:47:27.178Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/55cf219b9472433482eadeccf52171c8.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/55cf219b9472433482eadeccf52171c8"}}, "title": "miComplete: weighted quality evaluation of assembled microbial genomes.", "authors": [{"family": "Hugoson", "given": "Eric", "initials": "E"}, {"family": "Lam", "given": "Wai Tin", "initials": "WT"}, {"family": "Guy", "given": "Lionel", "initials": "L"}], "type": "journal article", "published": "2020-02-01", "journal": {"title": "Bioinformatics", "issn": "1367-4811", "volume": "36", "issue": "3", "pages": "936-937", "issn-l": "1367-4803"}, "abstract": "Metagenomics and single-cell genomics have revolutionized the study of microorganisms, increasing our knowledge of microbial genomic diversity by orders of magnitude. A major issue pertaining to metagenome-assembled genomes (MAGs) and single-cell amplified genomes (SAGs) is to estimate their completeness and redundancy. Most approaches rely on counting conserved gene markers. In miComplete, we introduce a weighting strategy, where we normalize the presence/absence of markers by their median distance to the next marker in a set of complete reference genomes. This approach alleviates biases introduced by the presence/absence of shorter DNA pieces containing many markers, e.g. ribosomal protein operons.\n\nmiComplete is written in Python 3 and released under GPLv3. Source code and documentation are available at https://bitbucket.org/evolegiolab/micomplete.\n\nSupplementary data are available at Bioinformatics online.", "doi": "10.1093/bioinformatics/btz664", "pmid": "31504158", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC9883684"}, {"db": "pii", "key": "5553089"}], "notes": [], "created": "2026-08-20T09:40:22.980Z", "modified": "2026-08-20T09:40:23.029Z"}