Author

Honglong Wu

BGI Group (China)ORCID 0000-0002-2313-6897Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Weijun CheniD· 2 shared Bin PengiD· 1 shared Caiyun LiuiD· 1 shared Changhong ReniD· 1 shared Chunjuan Wang· 1 shared Daxi WangiD· 1 shared Fang CheniD· 1 shared Gaoya Zhou· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Weijun ChenORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multiple approaches for massively parallel sequencing of HCoV-19 (SARS-CoV-2) genomes directly from clinical samples

Minfeng Xiao, Xiaoqing Liu, Jingkai Ji, Min Li, Jiandong Li, Lin Yang, Wanying Sun, Peidi Ren, Guifang Yang, Jincun Zhao, Tianzhu Liang, Huahui Ren, Tian Chen, Huanzi Zhong, Wenchen Song, , Junhua Li

This paper compares amplicon, hybrid capture, and metatranscriptomic sequencing methods for directly sequencing SARS-CoV-2 genomes from clinical samples, finding differences in bias, sensitivity, and accuracy.

Genome Medicine · Jun 30, 2020Peer-reviewedGenomics

Metagenomic Next-generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Central Nervous System Infections: A Multicentre Prospective Study

Siyuan Fan, Xiaojuan Wang, Yafang Hu, Jingping Shi, Yueli Zou, Weili Zhao, Xiaodong Qiao, Chunjuan Wang, Jerome H. Chin, Lei Liu, Lingzhi Qin, Shengnan Wang, Hongfang Li, Wei Yue, Weihe Zhang, , Hongzhi Guan

This study evaluates metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid for diagnosing central nervous system infections, finding it detects pathogens in 36.6% of cases with some false positives and negatives.

bioRxiv · Jun 10, 2019 · PreprintGenomics