Microbiome data, metadata and analytical workflows have become 'big'in terms of volume
and complexity. Although the infrastructure and technologies to share data have been …

Technological advances enabling massively parallel measurement of biological features—
such as microarrays, high-throughput sequencing and mass spectrometry—have ushered in …

Metagenomic assembly enables new organism discovery from microbial communities, but it
can only capture few abundant organisms from most metagenomes. Here we present …

Evaluating metagenomic software is key for optimizing metagenome interpretation and focus
of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II …

Background Taxonomic profiling is a fundamental task in microbiome research that aims to
detect and quantify the relative abundance of microorganisms in biological samples …

Contig binning plays a crucial role in metagenomic data analysis by grou** contigs from
the same or closely related genomes. However, existing binning methods face challenges in …

High-throughput DNA sequencing-based approaches continue to revolutionise our
understanding of microbial ecosystems, including those associated with fermented foods …

The identification of reference genomes and taxonomic labels from metagenome data
underlies many microbiome studies. Here we describe two algorithms for compositional …

Motivation The growing number of microbial reference genomes enables the improvement
of metagenomic profiling accuracy but also imposes greater requirements on the indexing …

Binning aims to recover microbial genomes from metagenomic data. For complex
metagenomic communities, the available binning methods are far from satisfactory, which …