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      Hapsolutely: a user-friendly tool integrating haplotype phasing, network construction, and haploweb calculation

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          Abstract

          Motivation

          Haplotype networks are a routine approach to visualize relationships among alleles. Such visual analysis of single-locus data is still of importance, especially in species diagnosis and delimitation, where a limited amount of sequence data usually are available and sufficient, along with other datasets in the framework of integrative taxonomy. In diploid organisms, this often requires separating (phasing) sequences with heterozygotic positions, and typically separate programs are required for phasing, reformatting of input files, and haplotype network construction. We therefore developed Hapsolutely, a user-friendly program with an ergonomic graphical user interface that integrates haplotype phasing from single-locus sequences with five approaches for network/genealogy reconstruction.

          Results

          Among the novel options implemented, Hapsolutely integrates phasing and graphical reconstruction steps of haplotype networks, supports input of species partition data in the common SPART and SPART-XML formats, and calculates and visualizes haplowebs and fields for recombination, thus allowing graphical comparison of allele distribution and allele sharing among subsets for the purpose of species delimitation. The new tool has been specifically developed with a focus on the workflow in alpha-taxonomy, where exploring fields for recombination across alternative species partitions may help species delimitation.

          Availability and implementation

          Hapsolutely is written in Python, and integrates code from Phase, SeqPHASE, and PopART in C++ and Haxe. Compiled stand-alone executables for MS Windows and Mac OS along with a detailed manual can be downloaded from https://www.itaxotools.org; the source code is openly available on GitHub ( https://github.com/iTaxoTools/Hapsolutely).

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          Most cited references35

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          Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

          We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
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            DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

            DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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              • Record: found
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              • Article: not found

              popart: full-feature software for haplotype network construction

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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: Writing - original draft
                Role: Data curationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: SoftwareRole: ValidationRole: Writing - review & editing
                Role: MethodologyRole: SoftwareRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: Writing - review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing - review & editing
                Role: Associate Editor
                Journal
                Bioinform Adv
                Bioinform Adv
                bioadv
                Bioinformatics Advances
                Oxford University Press
                2635-0041
                2024
                05 June 2024
                05 June 2024
                : 4
                : 1
                : vbae083
                Affiliations
                Division of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig , 38106 Braunschweig, Germany
                Department of Computer Science, School of Electrical and Computer Engineering, National Technical University of Athens , 15780 Athens, Greece
                Division of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig , 38106 Braunschweig, Germany
                Natural History Museum, University of Oslo , 0562 Oslo, Norway
                Division of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig , 38106 Braunschweig, Germany
                Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE , 75005 Paris, France
                Department of Biology, Washington University , Saint Louis, MO 63130, United States
                Author notes
                Corresponding author. Division of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig, Mendelssohnstraße 4, 38106 Braunschweig, Germany. E-mail: m.vences@ 123456tu-braunschweig.de
                Author information
                https://orcid.org/0000-0003-0747-0817
                https://orcid.org/0000-0003-3704-0703
                Article
                vbae083
                10.1093/bioadv/vbae083
                11184345
                38895561
                b7b41dbb-7be7-4a29-b23e-976ce1ea3f3b
                © The Author(s) 2024. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 January 2024
                : 15 May 2024
                : 23 May 2024
                : 04 June 2024
                : 17 June 2024
                Page count
                Pages: 6
                Funding
                Funded by: Deutsche Forschungsgemeinschaft, DOI 10.13039/501100001659;
                Award ID: RE 603/29-1
                Award ID: VE 247/20-1
                Categories
                Application Note
                Genetics and Population Analysis
                AcademicSubjects/SCI01060

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