Author

Tao Cheng

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-5925-2769Unclaimed ORCID profile · follow to get notified of new preprints

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Tao Cheng1 paper · State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences& Peking Union Medical College

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Biao ZhangiD· 1 shared Bin SuiD· 1 shared Bin ZouiD· 1 shared Bing SuiD· 1 shared Chen W. JiangiD· 1 shared Chonghai Yin· 1 shared Chuang GuoiD· 1 shared Dongdong YuiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Biao ZhangORCID

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2 papers

Recent·Most cited

BioinformaticsGenomics Proteomics & BioinformaticsPeer-reviewedJun 22, 2022

GREPore-seq: A Robust Workflow to Detect Changes after Gene Editing through Long-range PCR and Nanopore Sequencing

Zi-Jun Quan, Si-Ang Li, Zhi-Xue Yang…·Xiao‐Bing Zhang

This paper introduces GREPore-seq, a workflow for detecting genetic changes after CRISPR editing using long-range PCR and nanopore sequencing, showing comparable accuracy to Illumina NGS.

15 citations

long-read sequencingexperimental assay

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GenomicsbioRxivPreprintOct 29, 2020

Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

Xianwen Ren, Wen Wen, Xiaoying Fan…·Zemin Zhang

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

4 citations

humanscRNA-seq

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