Author

Shengqiang Gu

BGI Group (China)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:genome assembly· 3 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Guangyi FaniD· 3 shared Li DengiD· 3 shared Lidong GuoiD· 3 shared Mengyang XuiD· 3 shared Ou WangiD· 3 shared Xin LiuiD· 3 shared Xun XuiD· 2 shared Fang CheniD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioinformatics

Guangyi FanORCID

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Author profile →

3 papers

Recent·Most cited

MetaTrass: High-quality metagenome assembly on the human gut microbiome by co-barcoding sequencing reads

Yanwei Qi, Shengqiang Gu, Yue Zhang, Lidong Guo, Mengyang Xu, Xiaofang Cheng, Ou Wang, Jianwei Chen, Xiaodong Fang, Xin Liu, Li Deng, Guangyi Fan

MetaTrass improves metagenome assembly by binning first and assembling later, producing more high-quality draft genomes from human gut microbiome samples.

bioRxiv · Sep 13, 2021 · PreprintBioinformatics

SLR-superscaffolder: a de novo scaffolding tool for synthetic long reads using a top-to-bottom scheme

Lidong Guo, Mengyang Xu, Wenchao Wang, Shengqiang Gu, Xia Zhao, Fang Chen, Ou Wang, Xun Xu, Inge Seim, Guangyi Fan, Li Deng, Xin Liu

The paper introduces a de novo scaffolding tool for synthetic long reads that improves assembly quality significantly, especially for assemblies from next-generation sequencing reads.

BMC Bioinformatics · Mar 25, 2021Peer-reviewedBioinformatics

TGS-GapCloser: fast and accurately passing through the Bermuda in large genome using error-prone third-generation long reads

Mengyang Xu, Lidong Guo, Shengqiang Gu, Ou Wang, Rui Zhang, Guangyi Fan, Xun Xu, Li Deng, Xin Liu

TGS-GapCloser closes gaps in genome assemblies using error-prone long reads, improving contig N50 and gene completeness while being faster than existing tools.

bioRxiv · Nov 5, 2019 · PreprintBioinformatics