In EDS ansehen

py_tps2tnt y py_tm2tnt: dos programas en Python para procesamiento de datos morfométricos en análisis cladísticos con TNT.

Gespeichert in:
Bibliographische Detailangaben
Titel: py_tps2tnt y py_tm2tnt: dos programas en Python para procesamiento de datos morfométricos en análisis cladísticos con TNT.
Alternate Title: py_tps2tnt and py_tm2tnt: Two Python programs for processing morphometric data for cladistic analyses with TNT.
Autoren: Liria, Jonathan1,2 jonathan.liria@gmail.com, Soto-Vivas, Ana3 aysoto@uce.edu.ec
Quelle: Revista Peruana de Biología. jul2025, Vol. 32 Issue 2, p1-6. 5p.
Schlagwörter: *MORPHOMETRICS, *CLADISTIC analysis, *PHYLOGENY, *PYTHON programming language, *OPEN source software, *ELECTRONIC data processing
Abstract (English): The incorporation of morphometric data into cladistic analyses poses methodological challenges, particularly in handling continuous characters and landmark configurations in matrices that include multiple individuals per taxon. Although the program TNT (Tree analysis using New Technology) has integrated functionalities for directly analysing continuous and morphogeometric characters, there remains a need for complementary tools that facilitate data preparation and processing. In this context, we present two open-source applications developed in Python: py_tps2tnt and py_tm2tnt. The former transforms TPS files containing multiple individuals per taxon, performs Procrustes alignments, calculates mean configurations, computes centroid size ranges, allows the selection of inter-landmark distances, and exports various types of data into TNT-compatible formats. The latter, py_tm2tnt, focuses on traditional morphometric data, enabling the calculation of intervals, univariate statistical analyses, and the export of continuous character matrices for parsimony analysis. Both applications feature an intuitive graphical user interface, flexible data management, and direct compatibility with TNT, facilitating their integration into phylogenetic workflows. This study describes the development, core functionalities, and future perspectives of both tools. In addition, information is provided on the complementary materials (tutorial videos and real and hypothetical data sets) that can be used for its evaluation and practical application. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): La incorporación de datos morfométricos en análisis cladísticos plantea desafíos metodológicos, particularmente en el manejo de caracteres continuos y configuraciones de landmarks en matrices con múltiples individuos por taxón. Aunque el programa TNT (Tree analysis using New Technology) ha incorporado funcionalidades para analizar directamente caracteres continuos y morfogeométricos, persiste la necesidad de herramientas complementarias que faciliten la preparación y el procesamiento de estos datos. En este contexto, se presentan dos aplicaciones de código abierto desarrolladas en Python: py_tps2tnt y py_tm2tnt. La primera permite transformar archivos TPS con múltiples individuos por taxón, realizar alineamientos mediante Procrustes, calcular promedios de configuración, determinar rangos para tamaño centroide, seleccionar distancias interlandmarks y exportar distintos tipos de datos al formato TNT. La segunda herramienta, py_tm2tnt, está orientada al tratamiento de datos morfométricos tradicionales, permitiendo calcular intervalos, realizar análisis estadísticos univariados y exportar matrices continuas compatibles con análisis de parsimonia. Ambas aplicaciones ofrecen una interfaz gráfica intuitiva, flexibilidad en la gestión de datos y compatibilidad directa con TNT, lo que facilita su integración en flujos de trabajo filogenéticos. Este trabajo se describe el desarrollo, las funcionalidades principales y las perspectivas de mejora de ambas herramientas, además se informa de los materiales complementarios (videos tutoriales y conjuntos de datos reales e hipotéticos) que pueden ser utilizados para su evaluación y aplicación práctica. [ABSTRACT FROM AUTHOR]
Datenbank: Academic Search Index
Beschreibung
Abstract:The incorporation of morphometric data into cladistic analyses poses methodological challenges, particularly in handling continuous characters and landmark configurations in matrices that include multiple individuals per taxon. Although the program TNT (Tree analysis using New Technology) has integrated functionalities for directly analysing continuous and morphogeometric characters, there remains a need for complementary tools that facilitate data preparation and processing. In this context, we present two open-source applications developed in Python: py_tps2tnt and py_tm2tnt. The former transforms TPS files containing multiple individuals per taxon, performs Procrustes alignments, calculates mean configurations, computes centroid size ranges, allows the selection of inter-landmark distances, and exports various types of data into TNT-compatible formats. The latter, py_tm2tnt, focuses on traditional morphometric data, enabling the calculation of intervals, univariate statistical analyses, and the export of continuous character matrices for parsimony analysis. Both applications feature an intuitive graphical user interface, flexible data management, and direct compatibility with TNT, facilitating their integration into phylogenetic workflows. This study describes the development, core functionalities, and future perspectives of both tools. In addition, information is provided on the complementary materials (tutorial videos and real and hypothetical data sets) that can be used for its evaluation and practical application. [ABSTRACT FROM AUTHOR]
ISSN:15610837
DOI:10.15381/rpb.v32i2.30018