{"doi":"10.1016/j.cell.2019.07.010","title":"Benchmarking Metagenomics Tools for Taxonomic Classification","abstract":null,"journal":"Cell","year":2019,"id":602465,"datarank":0.9754185068873437,"base_score":6.502790045915623,"endowment":6.502790045915623,"self_citation_contribution":0.9754185068873437,"citation_network_contribution":0.0,"self_endowment_contribution":0.9754185068873437,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":666,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":251084,"name":"Katherine J. Siddle","orcid":"0000-0002-1799-7295","position":1,"is_corresponding":false},{"id":251090,"name":"Daniel J. Park","orcid":"0000-0001-7226-7781","position":2,"is_corresponding":false},{"id":7155,"name":"Pardis C. Sabeti","orcid":"0000-0002-9843-1890","position":3,"is_corresponding":false},{"id":108313,"name":"Simon H. Ye","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Benchmarking Metagenomics Tools for Taxonomic Classification","abstract":"Metagenomic sequencing is revolutionizing the detection and characterization of microbial species, and a wide variety of software tools are available to perform taxonomic classification of these data. The fast pace of development of these tools and the complexity of metagenomic data make it important that researchers are able to benchmark their performance. Here, we review current approaches for metagenomic analysis and evaluate the performance of 20 metagenomic classifiers using simulated and experimental datasets. We describe the key metrics used to assess performance, offer a framework for the comparison of additional classifiers, and discuss the future of metagenomic data analysis.","is_dataset_classified":null,"base_score":6.502790045915623,"endowment":6.502790045915623,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"31398336","pmcid":"PMC6716367","openalex_id":"https://openalex.org/W2968450569","authors":[],"funders":[{"funder_name":"NIAID NIH HHS","grant_id":"U19 AI110818","title":null},{"funder_name":"Howard Hughes Medical Institute","grant_id":"","title":null},{"funder_name":"National Institute of Allergy and Infectious Diseases","grant_id":"","title":null},{"funder_name":"Broad Institute","grant_id":"","title":null}],"total_grants":4,"fwci":22.0082,"citation_percentile":0.997364,"influential_citations":0,"citation_trend":[{"year":2015,"count":1},{"year":2018,"count":1},{"year":2019,"count":6},{"year":2020,"count":62},{"year":2021,"count":89},{"year":2022,"count":132},{"year":2023,"count":83},{"year":2024,"count":153},{"year":2025,"count":92},{"year":2026,"count":47}],"oa_status":"bronze","license":"http://www.elsevier.com/open-access/userlicense/1.0/","oa_locations":[{"url":"http://www.cell.com/article/S0092867419307755/pdf","host_type":"journal"},{"url":"http://www.cell.com/article/S0092867419307755/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0092867419307755?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0092867419307755?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.cell.2019.07.010","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/31398336","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6716367","host_type":"repository"}],"fields_of_study":["Genomics and Phylogenetic Studies","Environmental DNA in Biodiversity Studies","Identification and Quantification in Food"],"mesh_terms":["Bacteria","Fungi","Phylogeny","Software","Viruses","Polymerase Chain Reaction","Sequence Analysis, DNA","Benchmarking","Databases, Genetic","Metagenome","Metagenomics"],"keywords":["Biology","Benchmarking","Metagenomics","Biological classification","Computational biology","Data science","Evolutionary biology","Genetics","Computer science","Gene"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-29T19:27:58.959121Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}