{"doi":"10.1093/bioinformatics/bti744","title":"mILD: a tool for constructing and analyzing matrices of pairwise phylogenetic character incongruence tests","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Summary: Pairwise comparisons of disagreement in phylogenetic datasets offer a powerful tool for isolating historical incongruence for closer analysis. Statistically significant phylogenetic character incongruence may reflect important differences in evolutionary history, such as horizontal gene transfer. Such testing can also be used to specify possible combinations of datasets for further phylogenetic analysis. The process of comparing multiple datasets can be very time consuming, and it is sometimes unclear how to combine data partitions given the observed patterns of incongruence. Here we present an application that automates the process of making pairwise comparisons between large numbers of phylogenetic datasets using the Incongruence Length Difference (ILD) test. The application also implements strategies for data combination based on the patterns of incongruence observed in pairwise comparisons.</jats:p>\n               <jats:p>Availability: The application is freely available as a Perl script that interacts with the command-line version of PAUP*.</jats:p>\n               <jats:p>Contact:  sarkar@amnh.org</jats:p>\n               <jats:p>Supplementary information:  </jats:p>","journal":"Bioinformatics","year":2005,"id":689334,"datarank":0.4493598410330987,"base_score":2.995732273553991,"endowment":2.995732273553991,"self_citation_contribution":0.4493598410330987,"citation_network_contribution":0.0,"self_endowment_contribution":0.4493598410330987,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":19,"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":34410,"name":"Indra Neil Sarkar","orcid":"0000-0003-2054-7356","position":1,"is_corresponding":false},{"id":343889,"name":"Paul J. Planet","orcid":"0000-0003-0543-0539","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"mILD: a tool for constructing and analyzing matrices of pairwise phylogenetic character incongruence tests","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>Summary: Pairwise comparisons of disagreement in phylogenetic datasets offer a powerful tool for isolating historical incongruence for closer analysis. Statistically significant phylogenetic character incongruence may reflect important differences in evolutionary history, such as horizontal gene transfer. Such testing can also be used to specify possible combinations of datasets for further phylogenetic analysis. The process of comparing multiple datasets can be very time consuming, and it is sometimes unclear how to combine data partitions given the observed patterns of incongruence. Here we present an application that automates the process of making pairwise comparisons between large numbers of phylogenetic datasets using the Incongruence Length Difference (ILD) test. The application also implements strategies for data combination based on the patterns of incongruence observed in pairwise comparisons.</jats:p>\n               <jats:p>Availability: The application is freely available as a Perl script that interacts with the command-line version of PAUP*.</jats:p>\n               <jats:p>Contact:  sarkar@amnh.org</jats:p>\n               <jats:p>Supplementary information:  </jats:p>","is_dataset_classified":null,"base_score":2.995732273553991,"endowment":2.995732273553991,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"16267088","pmcid":null,"openalex_id":"https://openalex.org/W2114617541","authors":[],"funders":[{"funder_name":"NIGMS NIH HHS","grant_id":"5R01 GM062351-02","title":null}],"total_grants":1,"fwci":1.6938,"citation_percentile":0.86918661,"influential_citations":0,"citation_trend":[{"year":2016,"count":6},{"year":2017,"count":1},{"year":2019,"count":1},{"year":2022,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://academic.oup.com/bioinformatics/article-pdf/21/24/4423/50566271/bioinformatics_21_24_4423.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/bioinformatics/bti744","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/16267088","host_type":"repository"}],"fields_of_study":["Plant Diversity and Evolution","Genomics and Phylogenetic Studies","Evolution and Paleontology Studies","Algorithms","Computational Biology","Databases, Genetic","Evolution, Molecular","Genomics","Phylogeny","Software"],"mesh_terms":["Algorithms","Phylogeny","Software","Evolution, Molecular","Computational Biology","Genomics","Databases, Genetic"],"keywords":["Pairwise comparison","Phylogenetic tree","Character (mathematics)","Phylogenetic network","Phylogenetics","Biology","Computer science","Artificial intelligence","Evolutionary biology","Statistics","Mathematics","Genetics","Gene"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Reduced inequalities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-20T18:32:11.475299Z","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":[]}