Author

Xiaoge Guo

Harvard University

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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Bioengineering· 1 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Alejandro ChaveziD· 2 shared George McDonald ChurchiD· 2 shared Yingleong ChaniD· 2 shared Angela Tung· 1 shared Bruce A. YankneriD· 1 shared Christian Kaas· 1 shared Christopher A. WalshiD· 1 shared Derek J.C. TaiiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Alejandro ChavezORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Identifying cell type specific driver genes in autism-associated copy number loci from cerebral organoids

Elaine T. Lim, Yingleong Chan, Pepper Dawes, Xiaoge Guo, Serkan Erdin, Derek J.C. Tai, Songlei Liu, Julia M. Reichert, Mannix J. Burns, Ying Chan, Jessica J. Chiang, Katharina Meyer, Xiaochang Zhang, Christopher A. Walsh, Bruce A. Yankner, , George McDonald Church

The paper identifies cell type specific driver genes in autism-associated copy number loci using cerebral organoids and validates findings with CRISPR/Cas9-edited mosaic organoids.

Nature Communications · Jun 10, 2022Peer-reviewedGenomics

Accurate analysis of genuine CRISPR editing events with ampliCan

Kornel Labun, Xiaoge Guo, Alejandro Chavez, George McDonald Church, James A. Gagnon, Eivind Valen

ampliCan provides precise quantification and visualization of genome editing events, outperforming existing tools in benchmark tests.

Genome Research · May 1, 2019Peer-reviewedBioinformatics

High-throughput creation and functional profiling of eukaryotic DNA sequence variant libraries using CRISPR/Cas9

Xiaoge Guo, Alejandro Chavez, Angela Tung, Yingleong Chan, Ryan Cecchi, Santiago Lopez Garnier, Christian Kaas, Eric Kelsic, Max Schubert, James E. DiCarlo, James J. Collins, George M. Church

The paper introduces a Cas9-based method to create and functionally profile eukaryotic DNA variant libraries, enabling efficient analysis of genetic alterations.

bioRxiv · Sep 29, 2017 · PreprintBioengineering