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Genomic data integration tutorial, a plant case study.
Mardoc, Emile; Sow, Mamadou Dia; Déjean, Sébastien; Salse, Jérôme.
Afiliación
  • Mardoc E; UCA-INRAE UMR 1095 Genetics, Diversity and Ecophysiology of Cereals (GDEC), 5 Chemin de Beaulieu, 63000, Clermont-Ferrand, France.
  • Sow MD; UCA-INRAE UMR 1095 Genetics, Diversity and Ecophysiology of Cereals (GDEC), 5 Chemin de Beaulieu, 63000, Clermont-Ferrand, France.
  • Déjean S; Institut de Mathématiques de Toulouse, UMR 5219, Université de Toulouse, CNRS, Université Paul Sabatier, Toulouse, France.
  • Salse J; UCA-INRAE UMR 1095 Genetics, Diversity and Ecophysiology of Cereals (GDEC), 5 Chemin de Beaulieu, 63000, Clermont-Ferrand, France. jerome.salse@inrae.fr.
BMC Genomics ; 25(1): 66, 2024 Jan 17.
Article en En | MEDLINE | ID: mdl-38233804
ABSTRACT

BACKGROUND:

The ongoing evolution of the Next Generation Sequencing (NGS) technologies has led to the production of genomic data on a massive scale. While tools for genomic data integration and analysis are becoming increasingly available, the conceptual and analytical complexities still represent a great challenge in many biological contexts.

RESULTS:

To address this issue, we describe a six-steps tutorial for the best practices in genomic data integration, consisting of (1) designing a data matrix; (2) formulating a specific biological question toward data description, selection and prediction; (3) selecting a tool adapted to the targeted questions; (4) preprocessing of the data; (5) conducting preliminary analysis, and finally (6) executing genomic data integration.

CONCLUSION:

The tutorial has been tested and demonstrated on publicly available genomic data generated from poplar (Populus L.), a woody plant model. We also developed a new graphical output for the unsupervised multi-block analysis, cimDiablo_v2, available at https//forgemia.inra.fr/umr-gdec/omics-integration-on-poplar , and allowing the selection of master drivers in genomic data variation and interplay.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BMC Genomics / BMC genomics Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BMC Genomics / BMC genomics Asunto de la revista: GENETICA Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido