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ProteoGyver: Una herramienta rápida y fácil de usar para el control de calidad y análisis de rutina de datos de

Kari Salokas¹, Salla Keskitalo¹, Markku Varjosalo¹

¹Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.

Bioinformatics (Oxford, England)

|January 30, 2026

Resumen

ProteoGyver (PG) ofrece una solución fácil de usar para el control de calidad rápido y el análisis preliminar de grandes conjuntos de datos de proteómica. Este software accesible simplifica el manejo de datos complejos, haciendo que el análisis de proteómica avanzado sea más rutinario para los investigadores.

Área de la Ciencia:

Proteómica
Bioinformática
Biología Computacional

Sus antecedentes:

La proteómica basada en espectrometría de masas genera grandes cantidades de datos.
El software actual para el control de calidad (QC) y el análisis preliminar a menudo requiere experiencia especializada.
Esto limita la adopción rutinaria de prácticas esenciales de control de calidad en la investigación de proteómica.

Objetivo del estudio:

Desarrollar una solución de software accesible y liviana para el control de calidad rápido y el análisis preliminar de datos de proteómica.
Reducir la barrera para las prácticas rutinarias de control de calidad en proteómica.
Proporcionar flujos de trabajo optimizados para conjuntos de datos de proteoma completo e interactómica.

Principales métodos:

Desarrollo de ProteoGyver (PG), una herramienta de software para métricas automatizadas de control de calidad e informes gráficos.
Integración de herramientas como MS Inspector para la inspección de cromatogramas y Colocalizer para datos de microscopía.
Las opciones de implementación incluyen contenedores Docker o instalaciones independientes de Python para facilitar su uso.

Principales resultados:

ProteoGyver (PG) proporciona métricas automatizadas de control de calidad e informes gráficos intuitivos para datos de proteómica.
Los flujos de trabajo optimizados facilitan el análisis preliminar de conjuntos de datos de proteoma completo e interactómica.
Herramientas adicionales mejoran las capacidades de inspección de datos.

Conclusiones:

ProteoGyver (PG) reduce significativamente la barrera para las prácticas regulares de control de calidad en proteómica basada en espectrometría de masas.
El software ofrece una solución accesible y eficiente para el análisis preliminar de datos.
PG es de código abierto y está disponible gratuitamente, lo que promueve una mayor adopción en la comunidad de investigación.

Palabras clave:

Proteómica Control de calidad Análisis de datos Espectrometría de masas Bioinformática Software

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