Evidence map›Paper›PMID 38895561›Full record

ArticleBioinformatics advances2024

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

Miguel Vences, Stefanos Patmanidis, Jan-Christopher Schmidt, Michael Matschiner, Aurélien Miralles, Susanne S Renner

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Article in Bioinformatics advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  13. A new species ofZooKeys · 2026
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  18. MultipleFood and waterborne parasitology · 2025
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miguel VencesDivision of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig, 38106 Braunschweig, Germany.ORCID https://orcid.org/0000-0003-0747-0817
Stefanos PatmanidisDepartment of Computer Science, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
Jan-Christopher SchmidtDivision of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Michael MatschinerNatural History Museum, University of Oslo, 0562 Oslo, Norway.
Aurélien MirallesDivision of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Susanne S RennerDepartment of Biology, Washington University, Saint Louis, MO 63130, United States.ORCID https://orcid.org/0000-0003-3704-0703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Identifiers

PMID38895561
PMCPMC11184345

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.