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Journal Article 2016

Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods

Autor: Martin, G. Baurens, F.C. Droc, Gaëtan Rouard, M. Cenci, A. Kilian, A. Hastie, A. Doležel, Jaroslav Aury, J.M. Alberti, A. Carreel, F. D'Hont, A.

Recent advances in genomics indicate functional significance of a majority of genome sequences and their long range interactions. As a detailed examination of genome organization and function requires very high quality genome sequence, the objective of this study was to improve reference genome a...

Enlace original: https://cgspace.cgiar.org/handle/10568/72768

Investigación en Agricultura

MUSA ACUMINATA

GENOMES

BIOINFORMATICS

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Martin, G. , Baurens, F.C. , Droc, Gaëtan , Rouard, M. , Cenci, A. , Kilian, A. , Hastie, A. , Doležel, Jaroslav , Aury, J.M. , Alberti, A. , Carreel, F. , D'Hont, A. , [Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods] , Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods

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Plant pangenome: impacts on phenotypes and evolution

Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods

Descubre y comparte nuestro conocimiento público

Resultados de búsqueda

Plant pangenome: impacts on phenotypes and evolution

Improvement of the banana “Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods

[BananaImprovement_Rouard.pdf]