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Medición de datos genómicos con análisis de prefijos libres

Simone Lucà¹, Francesco Masillo², Zsuzsanna Lipták¹

¹University of Verona, Department of Computer Science, Strada le Grazie, 15, Verona, 37134, Italy.

Computational biology and chemistry

|January 7, 2026

Resumen

El análisis de prefijos libres (PFP) proporciona una medida eficiente (π) para la repetitividad del texto biológico y la apertura del pangenoma. Este enfoque novedoso es significativamente más rápido y más eficiente en el uso del espacio que los métodos existentes.

Palabras clave:

Compresión Datos masivos Apertura del pangenoma Análisis de prefijos libres Medidas de repetitividad Indexación de texto

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Área de la Ciencia:

Bioinformática
Biología Computacional
Ciencia de Datos

Sus antecedentes:

El análisis de prefijos libres (PFP) es una heurística para indexar grandes conjuntos de datos biológicos.
La estructura de datos PFP, que comprende un diccionario y un análisis, acelera el cálculo del índice.

Objetivo del estudio:

Investigar el tamaño del análisis de prefijos libres (π) como una herramienta analítica independiente.
Evaluar π como medida de la repetitividad del texto y la apertura del pangenoma.
Comparar la eficiencia de π con las medidas existentes.

Principales métodos:

Se analiza el tamaño del análisis de prefijos libres (π).
π se aplica como medida de repetitividad y se compara con z, r y δ.
π se utiliza como medida de apertura del pangenoma.
Se realizó un estudio sistemático de los parámetros de PFP (tamaño de ventana w, módulo p).

Principales resultados:

π demuestra ser eficaz como medida de repetitividad y para evaluar la apertura del pangenoma.
Los resultados son comparables a las medidas existentes pero se logran con una eficiencia significativamente mayor (tiempo y espacio).
El estudio identificó opciones óptimas de parámetros para PFP, revelando preguntas abiertas de investigación.

Conclusiones:

El tamaño del análisis de prefijos libres (π) es una herramienta potente y eficiente para analizar datos biológicos.
π ofrece una alternativa más eficiente a las medidas existentes de repetitividad y apertura del pangenoma.
Se justifica una mayor investigación sobre la optimización de los parámetros de PFP.