DACTAL statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Phylogenetic inference chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

DACTAL specifications

Information


Unique identifier OMICS_25056
Name DACTAL
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

Versioning


Add your version

Maintainer


  • person_outline Tandy Warnow <>

Publication for Divide-And-Conquer Trees without Alignments

DACTAL in publications

 (2)
PMCID: 4239662
PMID: 25572610
DOI: 10.1186/1471-2164-15-S6-S7

[…] from which the final tree is selected. the only difference between the two techniques is how the dataset is divided into subsets, with one technique using the dataset decomposition technique from dactal [] and the other using a modification of the dataset decomposition technique from rec-i-dcm3 []., we evaluate these two techniques on a collection of simulated and biological datasets, […]

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 […]


To access a full list of publications, you will need to upgrade to our premium service.

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].

DACTAL reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review DACTAL