Literature DB >> 27900688

Degradation Network Reconstruction Guided by Metagenomic Data.

Rafael Bargiela1, Manuel Ferrer2.   

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.

Entities:  

Keywords:  AromaDeg; Aromatics; Biodegradation; Metagenomics; Network reconstruction; Next-generation sequencing; Pathways; Pollutants

Mesh:

Year:  2017        PMID: 27900688     DOI: 10.1007/978-1-4939-6691-2_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics.

Authors:  Marianela Macchi; Sabrina Festa; Esteban Nieto; José M Irazoqui; Nelson E Vega-Vela; Howard Junca; María P Valacco; Ariel F Amadio; Irma S Morelli; Bibiana M Coppotelli
Journal:  Biotechnol Rep (Amst)       Date:  2021-01-06
  1 in total

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