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...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Norfolk, UK :
Caister Academic Press,
[2017]
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781910190609 1910190608 |
Internformat
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| 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. | |
| 650 | 0 | |a Microbial genomics. |0 http://id.loc.gov/authorities/subjects/sh2003001301 | |
| 650 | 0 | |a Microbial genomics |x Data processing. | |
| 650 | 0 | |a Biological models. |0 http://id.loc.gov/authorities/subjects/sh85014180 | |
| 650 | 2 | |a Metagenome | |
| 650 | 2 | |a Metagenomics |x methods | |
| 650 | 2 | |a Models, Biological | |
| 650 | 6 | |a Génomique microbienne. | |
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| contents | 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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| discipline | Biologie |
| format | Electronic eBook |
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| spelling | Metagenomics : current advances and emerging concepts / edited by Diana Marco. Norfolk, UK : Caister Academic Press, [2017] ©2017 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed June 16, 2017). Includes bibliographical references and index. 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. 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. Microbial genomics. http://id.loc.gov/authorities/subjects/sh2003001301 Microbial genomics Data processing. Biological models. http://id.loc.gov/authorities/subjects/sh85014180 Metagenome Metagenomics methods Models, Biological Génomique microbienne. Génomique microbienne Informatique. Modèles biologiques. SCIENCE Life Sciences Biochemistry. bisacsh Biological models fast Microbial genomics fast Marco, Diana, editor. has work: Metagenomics: current advances and emerging concepts (Text) https://id.oclc.org/worldcat/entity/E39PCYQDFvcqth9Qm7RKJmvY3j https://id.oclc.org/worldcat/ontology/hasWork Print version: Metagenomics. Norfolk, UK : Caister Academic Press, [2017] 1910190594 9781910190593 (OCoLC)965474862 |
| spellingShingle | Metagenomics : current advances and emerging concepts / 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. Microbial genomics. http://id.loc.gov/authorities/subjects/sh2003001301 Microbial genomics Data processing. Biological models. http://id.loc.gov/authorities/subjects/sh85014180 Metagenome Metagenomics methods Models, Biological Génomique microbienne. Génomique microbienne Informatique. Modèles biologiques. SCIENCE Life Sciences Biochemistry. bisacsh Biological models fast Microbial genomics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2003001301 http://id.loc.gov/authorities/subjects/sh85014180 |
| title | Metagenomics : current advances and emerging concepts / |
| title_auth | Metagenomics : current advances and emerging concepts / |
| title_exact_search | Metagenomics : current advances and emerging concepts / |
| title_full | Metagenomics : current advances and emerging concepts / edited by Diana Marco. |
| title_fullStr | Metagenomics : current advances and emerging concepts / edited by Diana Marco. |
| title_full_unstemmed | Metagenomics : current advances and emerging concepts / edited by Diana Marco. |
| title_short | Metagenomics : |
| title_sort | metagenomics current advances and emerging concepts |
| title_sub | current advances and emerging concepts / |
| topic | Microbial genomics. http://id.loc.gov/authorities/subjects/sh2003001301 Microbial genomics Data processing. Biological models. http://id.loc.gov/authorities/subjects/sh85014180 Metagenome Metagenomics methods Models, Biological Génomique microbienne. Génomique microbienne Informatique. Modèles biologiques. SCIENCE Life Sciences Biochemistry. bisacsh Biological models fast Microbial genomics fast |
| topic_facet | Microbial genomics. Microbial genomics Data processing. Biological models. Metagenome Metagenomics methods Models, Biological Génomique microbienne. Génomique microbienne Informatique. Modèles biologiques. SCIENCE Life Sciences Biochemistry. Biological models Microbial genomics |
| work_keys_str_mv | AT marcodiana metagenomicscurrentadvancesandemergingconcepts |