Ziming Weng

Aquila uses linked-read data to assemble diploid genomes and detect genetic variants, achieving high coverage and accurate phasing of SNPs, indels, and structural variants.

This study uses read cloud sequencing to identify mobile elements in Bacteroides caccae that contribute to antibiotic resistance in a patient's microbiome over time.

This study demonstrates that de novo assembly of 10x linked-read data can effectively detect structural variants in personal genomes with high accuracy and cost-effectiveness.

This study evaluates how 10x Linked-Read sequencing parameters affect human genome assembly quality using real and simulated data, finding optimal coverage and fragment length ranges.

This paper introduces a read cloud metagenomic sequencing approach combined with a new assembler, Athena, to generate high-quality microbial genome drafts from human and marine microbiomes without culturing.

This paper introduces GROC-SVs, a method for detecting and assembling structural variants using read cloud data, showing improved specificity and enabling complex breakpoint reconstruction in cancer samples.

The paper presents extensive sequencing data from seven human genomes to serve as benchmark reference materials for improving sequencing technologies and variant calling.