@article{CoelhoAlvesMonteiroetal.2019,
  author    = {Coelho, Luis Pedro and Alves, Renato and Monteiro, Paulo and Huerta-Cepas, Jaime and Freitas, Ana Teresa and Bork, Peer},
  title     = {NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language},
  series = {Microbiome},
  volume    = {7},
  journal   = {Microbiome},
  number    = {84},
  doi       = {10.1186/s40168-019-0684-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223161},
  year      = {2019},
  abstract  = {Background Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data. Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline. Results We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files. Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible. Conclusions NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion. NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda.},
  language  = {en}
}
@article{SchmidtHaywardCoelhoetal.2019,
  author    = {Schmidt, Thomas S. B. and Hayward, Matthew R. and Coelho, Luiis P. and Li, Simone S. and Costea, Paul I. and Voigt, Anita Y. and Wirbel, Jakob and Maistrenko, Oleksandr M. and Alves, Renato J. C. and Bergsten, Emma and de Beaufort, Carine and Sobhani, Iradj and Heintz-Buschart, Anna and Sunagawa, Shinichi and Zeller, Georg and Wilmes, Paul and Bork, Peer},
  title     = {Extensive transmission of microbes along the gastrointestinal tract},
  series = {eLife},
  volume    = {8},
  journal   = {eLife},
  doi       = {10.7554/eLife.42693},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228954},
  pages     = {e42693, 1-18},
  year      = {2019},
  abstract  = {The gastrointestinal tract is abundantly colonized by microbes, yet the translocation of oral species to the intestine is considered a rare aberrant event, and a hallmark of disease. By studying salivary and fecal microbial strain populations of 310 species in 470 individuals from five countries, we found that transmission to, and subsequent colonization of, the large intestine by oral microbes is common and extensive among healthy individuals. We found evidence for a vast majority of oral species to be transferable, with increased levels of transmission in colorectal cancer and rheumatoid arthritis patients and, more generally, for species described as opportunistic pathogens. This establishes the oral cavity as an endogenous reservoir for gut microbial strains, and oral-fecal transmission as an important process that shapes the gastrointestinal microbiome in health and disease.},
  subject      = {Barrier},
  language  = {en}
}
@article{MilaneseMendePaolietal.2019,
  author    = {Milanese, Alessio and Mende, Daniel R and Paoli, Lucas and Salazar, Guillem and Ruscheweyh, Hans-Joachim and Cuenca, Miguelangel and Hingamp, Pascal and Alves, Renato and Costea, Paul I and Coelho, Luis Pedro and Schmidt, Thomas S. B. and Almeida, Alexandre and Mitchell, Alex L and Finn, Robert D. and Huerta-Cepas, Jaime and Bork, Peer and Zeller, Georg and Sunagawa, Shinichi},
  title     = {Microbial abundance, activity and population genomic profiling with mOTUs2},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-019-08844-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-224089},
  year      = {2019},
  abstract  = {Metagenomic sequencing has greatly improved our ability to profile the composition of environmental and host-associated microbial communities. However, the dependency of most methods on reference genomes, which are currently unavailable for a substantial fraction of microbial species, introduces estimation biases. We present an updated and functionally extended tool based on universal (i.e., reference-independent), phylogenetic marker gene (MG)-based operational taxonomic units (mOTUs) enabling the profiling of >7700 microbial species. As more than 30\% of them could not previously be quantified at this taxonomic resolution, relative abundance estimates based on mOTUs are more accurate compared to other methods. As a new feature, we show that mOTUs, which are based on essential housekeeping genes, are demonstrably well-suited for quantification of basal transcriptional activity of community members. Furthermore, single nucleotide variation profiles estimated using mOTUs reflect those from whole genomes, which allows for comparing microbial strain populations (e.g., across different human body sites).},
  language  = {en}
}