<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14</volume><submitter>Liu X</submitter><pubmed_abstract>Phylogenetic tools are fundamental to the studies of evolutionary relationships. In this paper, we present &lt;i>Ksak&lt;/i>, a novel high-throughput tool for alignment-free phylogenetic analysis. &lt;i>Ksak&lt;/i> computes the pairwise distance matrix between molecular sequences, using seven widely accepted &lt;i>k&lt;/i>-mer based distance measures. Based on the distance matrix, &lt;i>Ksak&lt;/i> constructs the phylogenetic tree with standard algorithms. When benchmarked with a golden standard 16S rRNA dataset, &lt;i>Ksak&lt;/i> was found to be the most accurate tool among all five tools compared and was 19% more accurate than &lt;i>ClustalW2&lt;/i>, a high-accuracy multiple sequence aligner. Above all, &lt;i>Ksak&lt;/i> was tens to hundreds of times faster than &lt;i>ClustalW2&lt;/i>, which helps eliminate the computation limit curre</pubmed_abstract><journal>Frontiers in microbiology</journal><pagination>1050130</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10098151</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>&lt;i>Ksak&lt;/i>: A high-throughput tool for alignment-free phylogenetics.</pubmed_title><pmcid>PMC10098151</pmcid><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Ai D</pubmed_authors><pubmed_authors>Xie J</pubmed_authors><pubmed_authors>Xia LC</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Xu G</pubmed_authors><pubmed_authors>Ren B</pubmed_authors><pubmed_authors>Cheng Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>&lt;i>Ksak&lt;/i>: A high-throughput tool for alignment-free phylogenetics.</name><description>Phylogenetic tools are fundamental to the studies of evolutionary relationships. In this paper, we present &lt;i>Ksak&lt;/i>, a novel high-throughput tool for alignment-free phylogenetic analysis. &lt;i>Ksak&lt;/i> computes the pairwise distance matrix between molecular sequences, using seven widely accepted &lt;i>k&lt;/i>-mer based distance measures. Based on the distance matrix, &lt;i>Ksak&lt;/i> constructs the phylogenetic tree with standard algorithms. When benchmarked with a golden standard 16S rRNA dataset, &lt;i>Ksak&lt;/i> was found to be the most accurate tool among all five tools compared and was 19% more accurate than &lt;i>ClustalW2&lt;/i>, a high-accuracy multiple sequence aligner. Above all, &lt;i>Ksak&lt;/i> was tens to hundreds of times faster than &lt;i>ClustalW2&lt;/i>, which helps eliminate the computation limit curre</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-04T09:58:37.353Z</modification><creation>2025-02-19T03:30:25.159Z</creation></dates><accession>S-EPMC10098151</accession><cross_references><pubmed>37065122</pubmed><doi>10.3389/fmicb.2023.1050130</doi></cross_references></HashMap>