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Senying Lai on Muck Rack

Senying Lai

As seen in: Science Magazine, BioRxiv
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Articles

Long-read sequencing reveals extensive gut phageome structural variations driven by genetic exchange with bacterial hosts

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By Michael MaY, Michael May, Linru Fang, Sumalata Sonavane, Senying Lai
| Science Magazine Verified
Abstract Genetic variations are instrumental for unraveling phage evolution and deciphering their functional implications. Here, we explore the underlying fine-scale genetic variations in the gut phageome, especially structural variations (SVs). By using virome-enriched long-read metagenomic sequencing across 91 individuals, we identified a total of 14,438 nonredundant phage SVs and revealed their prevalence within the human gut phageome.
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Enterotypes of the human gut mycobiome

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By Senying Lai, Yanni Pu, Shuchun Lin, Jian-Ge Qiu
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
Open in Who Shared View Duplicates (689) Issue with article?

metaMIC: reference-free Misassembly Identification and Correction of de novo metagenomic assemblies

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By Luis Pedro Coelho, Senying Lai, Shaojun Pan, Wei-Hua Chen
| BioRxiv
New Results Senying Lai, Shaojun Pan, Luis Pedro Coelho, Wei-Hua Chen, Xing-Ming Zhao doi: https://doi.org/10.1101/2021.06.22.449514 Abstract Evaluating the quality of metagenomic assemblies is important for constructing reliable metagenome-assembled genomes and downstream analyses. Here, we present metaMIC (https://github.com/ZhaoXM-Lab/metaMIC), a machine-learning based tool for identifying and correcting misassemblies in metagenomic assemblies.
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