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La integración de los genomas
D R Zerbino1, B Paten, D Haussler
1Center for Biomolecular Sciences and Engineering, University of California, Santa Cruz, CA 95064, USA.
Science (New York, N.Y.)
|April 14, 2012
Resumen
La genómica computacional integra diversos datos para obtener ideas biológicas más profundas. Este enfoque computacional, utilizando modelos avanzados y ciencias de la computación, ofrece una nueva comprensión de la vida en numerosos organismos.
Área de la Ciencia:
- La genómica es la genómica.
- La bioinformática es la bioinformática.
- Biología computacional Biología computacional.
Sus antecedentes:
- Los proyectos de secuenciación genómica integran cada vez más datos genéticos, moleculares y fenotípicos.
- Una subdisciplina especializada, la genómica computacional, ha surgido para abordar esta complejidad.
Objetivo del estudio:
- Describir el surgimiento y el alcance de la genómica computacional.
- Para resaltar la naturaleza interdisciplinaria de la genómica computacional.
Principales métodos:
- Integración de modelos de genética de poblaciones, filogenética y genética de enfermedades humanas.
- Aplicación de principios de la teoría de gráficos, estadística, procesamiento de señales y ciencias de la computación.
- Utilizando la potencia computacional para el análisis de datos genómicos a gran escala.
Principales resultados:
- Desarrollo de una rica base cuantitativa para la genómica.
- Permitir el análisis de una amplia y creciente muestra de organismos.
- Facilitar el impacto en diversos campos científicos.
Conclusiones:
- La genómica computacional es esencial para la investigación genómica moderna y a gran escala.
- Este campo proporciona nuevos conocimientos sobre la historia y la diversidad de la vida.
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