id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_01_08_426008	Pipes, Lenore	AncestralClust: Clustering of Divergent Nucleotide Sequences by Ancestral Sequence Reconstruction using Phylogenetic Trees	2021	7	.pdf	application/pdf	3682	382	63	AncestralClust: Clustering of Divergent Nucleotide Sequences by Ancestral Sequence Reconstruction using Phylogenetic Trees Despite the exponential increase in the size of sequence databases of homologous genes, few methods exist to cluster At low identities, these methods produce uneven clusters where the majority of sequences are are no clustering methods that can accurately cluster large taxonomically divergent metabarcoding reference databases such as databases (Schoch et al., 2020), there is a need for new computationally efficient methods that can cluster divergent sequences. To cluster divergent sequences, we developed AncestralClust clustering methods: UCLUST (Edgar, 2010), meshclust2 (James dataset against UCLUST because it is the most widely used clustering program and it performs better than CD-HIT on low identity We developed a phylogenetic-based clustering method, AncestralClust, specifically to cluster divergent metabarcode sequences. Comparisons of clustering methods using 13,043 COI sequences from 11 different species.	./cache/10_1101-2021_01_08_426008.pdf	./txt/10_1101-2021_01_08_426008.txt