Author

Jamie Shallcross

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:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Adrian CamarenaiD· 1 shared Andre Wilberg· 1 shared Bo DingiD· 1 shared Chris P. Walker· 1 shared Hannah R. DueckiD· 1 shared Jae Mun (Hugo) Kim· 1 shared James A. KnowlesiD· 1 shared James Eberwine· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Adrian CamarenaORCID

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Author profile →

2 papers

Recent·Most cited

VERSE: a versatile and efficient RNA-Seq read counting tool

Qin Zhu, Stephen A Fisher, Jamie Shallcross, Junhyong Kim

VERSE is an RNA-Seq read counting tool that is faster than HTSeq and supports hierarchical read assignment to genomic features.

bioRxiv · May 14, 2016 · PreprintBioinformatics

Assessing the measurement transfer function of single-cell RNA sequencing

Hannah R. Dueck, Rizi Ai, Adrian Camarena, Bo Ding, Reymundo Dominguez, Oleg V. Evgrafov, Jian-Bing Fan, Stephen A. Fisher, Jennifer S. Hernstein, Tae Kyung Kim, Jae Mun (Hugo) Kim, Ming-Yi Lin, Rui Liu, William J. Mack, Sean McGroty, , Junhyoung Kim

This study evaluates the performance of three scRNA-seq methods through controlled experiments, finding they reliably detect genes above 5-10 molecules with linear measurement transfer functions.

bioRxiv · Mar 24, 2016 · PreprintGenomics