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Metagenomics : current advances and emerging concepts /

Metagenomics continues to be one of the most dynamic scientific fields due largely to the development of new and cheaper sequencing technologies. The diversity of habitats explored with metagenomics and other meta-omics techniques has increased exponentially in recent years. The resulting cascade of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Marco, Diana (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norfolk, UK : Caister Academic Press, [2017]
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Metagenomics :  |b current advances and emerging concepts /  |c edited by Diana Marco. 
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504 |a Includes bibliographical references and index. 
520 8 |a Metagenomics continues to be one of the most dynamic scientific fields due largely to the development of new and cheaper sequencing technologies. The diversity of habitats explored with metagenomics and other meta-omics techniques has increased exponentially in recent years. The resulting cascade of data has led to a new range of methodological problems and solutions. In this collection of reviews, expert authors describe the cutting-edge and emerging conceptual and methodological tools being employed to deal with current issues in metagenomics. 
505 0 |a 1. Integration of ecology and environmental metagenomics conceptual and methodological frameworks -- 2. Guidelines to statistical analysis of microbial composition data inferred from metagenomic sequencing -- 3. Methods for the metagenomic data visualization and analysis -- 4. Comparing viral metagenomic extraction methods -- 5. Spatiotemporal variations in the abundance and structure of denitrifier communities in sediments differing in nitrate content -- 6. Using metagenomics to connect microbial community biodiversity and functions -- 7. Application of omics approaches to studying methylotrophs and methylotroph communities. 
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650 0 |a Microbial genomics  |x Data processing. 
650 0 |a Biological models. 
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650 2 |a Metagenomics  |x methods 
650 2 |a Models, Biological 
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