Heiner Klingenberg

TL;DR: The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups as discussed by the authors.

TL;DR: This research has shown that people are sensitive to variation in skin color distribution, and such variation affects visual perception of female facial attractiveness, healthiness, and age.

TL;DR: Benchmark metagenomes were generated from ~700 newly sequenced microorganisms and ~600 novel viruses and plasmids, including genomes with varying degrees of relatedness to each other and to publicly available ones and representing common experimental setups.

TL;DR: This work introduces a novel approach to taxonomic profiling of metagenomes that is based on mixture model analysis of protein signatures that reveals the difficulties of the existing methods when measuring achaeal or viral abundances and shows the overall good profiling performance of the protein-based mixture model.

TL;DR: A model for differential expression in metatranscriptomics is proposed that explicitly accounts for variations in the taxonomic composition of transcripts across different samples and implies a taxon-specific scaling of counts for normalization of the data.