Author

Linus Chen

University of California, Los Angeles

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· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Eleazar EskiniD· 2 shared Harry Taegyun YangiD· 2 shared Kevin HsiehiD· 2 shared Serghei ManguliD· 2 shared Aaron Karlsberg· 1 shared Agata Wesolowska‐AnderseniD· 1 shared Alex ZelikovskyiD· 1 shared Andrew D. SmithiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Eleazar EskinORCID

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Author profile →

2 papers

Recent·Most cited

Benchmarking of computational error-correction methods for next-generation sequencing data

Keith Mitchell, Jaqueline Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Sergeevna Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry Taegyun Yang, Kevin Hsieh, Linus Chen, , Serghei Mangul

This study benchmarks error-correction methods for next-generation sequencing data, finding significant variation in performance across datasets with no single method being optimal overall.

Genome biology · Mar 17, 2020Peer-reviewedBioinformatics

Comprehensive analysis of RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Serghei Mangul, Harry Taegyun Yang, Nicolas B. Strauli, Franziska Gruhl, Hagit T. Porath, Kevin Hsieh, Linus Chen, Timothy Daley, Stephanie A. Christenson, Agata Wesolowska‐Andersen, Roberto Spreafico, Cydney L. Rios, Celeste S. Eng, Andrew D. Smith, Ryan D. Hernandez, , Noah Zaitlen

This paper introduces ROP to identify the source of unmapped RNA-Seq reads across diverse tissues, showing it can account for 99.9% of 1 trillion reads and reveals immune and microbial correlations.

Genome biology · Feb 15, 2018Peer-reviewedGenomics