title: Degradation Network Reconstruction Guided by Metagenomic Data.
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.
authors.affiliation: Institute of Catalysis, Consejo Superior de Investigaciones Científicas (CSIC), Marie Curie 2, 28049, Madrid, Spain.
authors.forename: Rafael
authors.initials: R
authors.lastname: Bargiela
authors.affiliation: Institute of Catalysis, Consejo Superior de Investigaciones Científicas (CSIC), Marie Curie 2, 28049, Madrid, Spain. mferrer@icp.csic.es.
authors.forename: Manuel
authors.initials: M
authors.lastname: Ferrer
mesh_terms: D001673:Biodegradation, Environmental; D019295:Computational Biology / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D053858:Metabolic Networks and Pathways / Q000235:genetics; D054892:Metagenome; D056186:Metagenomics / Q000379:methods; D012984:Software
keywords: AromaDeg; Aromatics; Biodegradation; Metagenomics; Network reconstruction; Next-generation sequencing; Pathways; Pollutants