Metagenomic Analyses: Past and Future Trends

By Carola Simon, Rolf Daniel. Applied and Environmental Microbiology, 2010

699 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6c122002cae15de530a8a7cf747cb8ffd1b1cfb6

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Citations in the corpus

DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection (2015, background): “Metagenomics has revolutionized microbiology by allowing a cultivation-independent assessment and exploitation of microbial communities present in complex ecosystems [1, 2].”
Methods for Analyzing Diversity of Microbial Communities in Natural Environments (2013, methodology): “Challenges for metaproteomic analyses include uneven species distribution, the broad range of protein expression levels within microorganisms, and the large genetic heterogeneity within microbial communities (Simon and Daniel, 2011).”
Metagenomics - a guide from sampling to data analysis (2012, background): “These initial projects not only showed proof of principle of the metagenomic approach, but also uncovered an enormous functional gene diversity in the microbial world around us [4].”
Culture-independent molecular tools for soil and rhizosphere microbiology (2013, neutral): “microbial communities, respectively [43,151].”
Microbial β-Glucosidase: Sources, Production and Applications (2017, background): “Only 1% of these microorganisms are culturable by laboratory standard techniques and majority, about 99%, are unculturable under laboratory conditions, thus making them unexplored to investigation and utilization for production of many value-added products [161,162,163].”
Predicting microbial nitrate reduction pathways in coastal sediments (2014, background): “As metagenomic techniques ma - ture and provide greater insight into the functional potential of microbial communities and metatranscriptomics identifies the active pathways (Simon & Daniel 2011), models such as ours will be well suited to compare with these data.”
Microbial communities in anammox reactors: a review (2017, background): “NGS allows not only the evaluation of the taxonomic diversity in an environment by sequencing phylogenetic markers such as 16S rRNA but also to estimate the environments metabolic potential through metagenomic DNA sequencing [15].”
Soil biodiversity and DNA barcodes: opportunities and challenges (2015, background): “The former approach is referred to as metabarcoding (Taberlet et al. 2012a,b) and the latter as metagenomics (Simon and Daniel, 2011) (Fig.”
Biological Degradation of Polycyclic Aromatic Compounds (PAHs) in Soil: a Current Perspective (2019, background): “Metaproteomics aims at assessing the immediate catalytic potential of a microbial community [59] although”
The role of microorganisms at different stages of ecosystem development for soil formation (2013, background): “In addition to that, the diversity of soil microbes is huge and can still be considered as a black box (Simon and Daniel, 2011); consequently nobody is so far able to give exact numbers on the species or, even more important, on the ecotype richness in one unit of soil.”
SFA-SPA: a suffix array based short peptide assembler for metagenomic data (2015, background): “Next-generation sequencing (NGS) technologies are used routinely in metagenomics, and provide a cost-effective approach to assay microbial communities at a high sequencing depth (Simon and Daniel, 2011).”
Microbial Co-occurrence Relationships in the Human Microbiome (2012, background): “tal microbial communities [7,8,9,10], it is not yet clear what the”