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DACTAL specifications


Unique identifier OMICS_25056
Alternative name Divide-And-Conquer Trees without Alignments
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes


No version available


  • person_outline Tandy Warnow

Publication for Divide-And-Conquer Trees without Alignments

DACTAL citations


Disk covering methods improve phylogenomic analyses

BMC Genomics
PMCID: 4239662
PMID: 25572610
DOI: 10.1186/1471-2164-15-S6-S7

[…] The following theorem is a direct corollary of Theorem 1 in [].Theorem 1: Let T be the true species tree, and let S1, S2,..., Sk be the subsets created by a DACTAL- or SSG-decomposition with T as the starting tree. Let ti be the true species tree on Si, i = 1, 2,..., k. Then the Strict Consensus Merger (and by extension also SuperFine+MRL), applied to the […]


AST: An Automated Sequence Sampling Method for Improving the Taxonomic Diversity of Gene Phylogenetic Trees

PLoS One
PMCID: 4044049
PMID: 24892935
DOI: 10.1371/journal.pone.0098844

[…] o their high demands for computational resources, including both memory and time. Even software tools specifically designed for large datasets have to limit the size of an input dataset. For example, DACTAL is shown to be useful for datasets up to 28, 000 sequences, but the accuracy of alignments and associated trees decreases as the number of sequences increases.An additional reason for sequence […]


Next generation phylogenomics

Biol Direct
PMCID: 3564786
PMID: 23339707
DOI: 10.1186/1745-6150-8-3

[…] on MSAs, it avoids the bias created in MSAs, and provides conservative reliability estimates. Phylogenetic approaches that link sequence alignment to phylogenetic reconstruction, such as SATé [] and Dactal [], may be able to solve some of the MSA associated problems; however, as pointed out in the manuscript, approaches that are based on pairwise distances between sequences [,,] calculated withou […]


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DACTAL institution(s)
Department of Computer Science, Calvin College, Grand Rapids, MI, USA; Department of Computer Science, Rice University, Houston, TX, USA; Department of Pathology and Laboratory Medicine, The University of Pennsylvania, Philadelphia, PA, USA; Section of Integrative Biology, The University of Texas at Austin, Austin, TX, USA; Department of Computer Science, The University of Texas at Austin, Austin, TX, USA
DACTAL funding source(s)
Supported by John Simon Guggenheim Memorial Foundation, Microsoft Research New England, Howard Hughes Medical Institute and US National Science Foundation [DEB-0733029, ITR 0331453, ITR 0121680, EIA 0303609, and IGERT 0114387].

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