Author

Indira Wu

10X Genomics (United States)

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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Genomics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:long-read sequencing· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Adam J. LoweiD· 1 shared Adrian N. Fehr· 1 shared Álvaro Martínez BarrioiD· 1 shared Andrew D.F. PriceiD· 1 shared Andrew Wei Xu· 1 shared Ariel Royall· 1 shared Bao‐Guo Ren· 1 shared Bill K. Lin· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Adam J. LoweORCID

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3 papers

Recent·Most cited

Targeted Transcriptome Analysis using Synthetic Long Read Sequencing Uncovers Isoform Reprograming in the Progression of Colon Cancer

Silvia Liu, Indira Wu, Yanping Yu, Michael A. Balamotis, Bao‐Guo Ren, Tuval Ben Yehezkel, Jianhua Luo

This study uses LoopSeq, a synthetic long read sequencing method, to analyze isoform changes in colon cancer and identifies novel gene fusions and isoform-specific SNVs.

Communications Biology · Apr 27, 2021Peer-reviewedGenomics

A Single-Molecule Long-Read Survey of Human Transcriptomes using LoopSeq Synthetic Long Read Sequencing

Indira Wu, Tuval Ben-Yehezkel

The paper introduces LoopSeq, a synthetic long-read sequencing method using short-read platforms to reconstruct full-length transcripts with high accuracy and identifies novel splice variants in human tissues.

bioRxiv · Jul 12, 2019 · PreprintGenomics

Resolving the Full Spectrum of Human Genome Variation using Linked-Reads

Patrick Marks, Sarah Garcia, Álvaro Martínez Barrio, Kamila Belhocine, Jorge Bernate, Rajiv Bharadwaj, Keith P. Bjornson, Claudia Catalanotti, Josh Delaney, Adrian N. Fehr, Ian T. Fiddes, Brendan D. Galvin, Haynes Heaton, Jill Herschleb, Christopher M. Hindson, , Deanna M. Church

This paper introduces Linked-Reads as a method to comprehensively analyze genome variation, showing it can detect both small and large variants and reconstruct haplotypes more effectively than short-read sequencing.

Genome Research · Apr 1, 2019Peer-reviewedGenomics