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Mendeley readers
Chapter title |
Degradation Network Reconstruction Guided by Metagenomic Data.
|
---|---|
Chapter number | 9 |
Book title |
Metagenomics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6691-2_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6689-9, 978-1-4939-6691-2
|
Authors |
Rafael Bargiela, Manuel Ferrer |
Editors |
Wolfgang R. Streit, Rolf Daniel |
Abstract |
Network reconstruction procedures based on meta-"omics" data are an invaluable tool for inferring total and active set of reactions mediated by different members in a microbial community. Within them, network-based methods for automatic analysis of catabolic capacities in metagenomes are currently limited. Here, we describe the complete workflow, scripts, and commands allowing the automatic reconstruction of biodegradation networks using as an input meta-sequences generated by direct DNA sequencing. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 14% |
Unknown | 12 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 14% |
Researcher | 2 | 14% |
Student > Postgraduate | 2 | 14% |
Professor > Associate Professor | 2 | 14% |
Student > Master | 1 | 7% |
Other | 2 | 14% |
Unknown | 3 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 36% |
Agricultural and Biological Sciences | 3 | 21% |
Computer Science | 2 | 14% |
Immunology and Microbiology | 1 | 7% |
Unknown | 3 | 21% |