Author

Laura H. Tung

Carnegie Mellon 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

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Carl KingsfordiD· 2 shared Mingfu ShaoiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Carl KingsfordORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Practical selection of representative sets of RNA-seq samples using a hierarchical approach

Laura H. Tung, Carl Kingsford

The paper introduces a hierarchical method to select representative RNA-seq samples from large databases, achieving significant runtime and memory reductions while maintaining performance comparable to direct methods.

Bioinformatics · Apr 30, 2021Peer-reviewedBioinformatics

Quantifying the Benefit Offered by Transcript Assembly on Single-Molecule Long Reads

Laura H. Tung, Mingfu Shao, Carl Kingsford

This paper evaluates how transcript assembly improves transcriptome analysis using long-read sequencing, showing Scallop-LR identifies more known transcripts and novel isoforms than Iso-Seq Analysis.

Genome biology · Dec 1, 2019Peer-reviewedBioinformatics