HUPAN: a pan-genome analysis pipeline for human genomes.

The human reference genome is still incomplete, especially for those population-specific or individual-specific regions, which may have important functions. Here, we developed a HUman Pan-genome ANalysis (HUPAN) system to build the human pan-genome. We applied it to 185 deep sequencing and 90 assembled Han Chinese genomes and detected 29.

Discovery and characterization of the evolution, variation and functions of diversity-generating retroelements using thousands of genomes and metagenomes.

Background: Diversity-generating retroelements (DGRs) are a unique family of retroelements that generate sequence diversity of DNA to benefit their hosts by introducing variations and accelerating the evolution of target proteins. They exist widely in bacteria, archaea, phage and plasmid. However, our understanding about DGRs in natural environments was still very limited.

MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms.

Background: Many methods have been developed for metagenomic sequence classification, and most of them depend heavily on genome sequences of the known organisms. A large portion of sequencing sequences may be classified as unknown, which greatly impairs our understanding of the whole sample.

Result: Here we present MetaBinG2, a fast method for metagenomic sequence classification, especially for samples with a large number of unknown organisms.