Publications by authors named "Pingqin Huang"
Binning aims to recover microbial genomes from metagenomic data. For complex metagenomic communities, the available binning methods are far from satisfactory, which usually do not fully use different types of features and important biological knowledge. We developed a novel ensemble binner, MetaBinner, which generates component results with multiple types of features by k-means and uses single-copy gene information for initialization.
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- Evaluating metagenomic software is crucial for enhancing the interpretation of metagenomes, and the CAMI II challenge focused on this by using complex datasets from numerous genomes and plasmids.
- The analysis of 5,002 results from 76 software versions showed significant advancements in assembly, especially with long-read data, although challenges remained with related strains and genome recovery.
- Findings indicated that while taxon profilers improved, they struggled with viruses and Archaea, highlighting the need for better reproducibility in clinical pathogen detection and guiding researchers in method selection based on efficiency and performance metrics.