Author

William Goh

Nanyang Technological 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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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:experimental assay· 2 Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Marek MutwiliD· 3 shared Qiao Wen TaniD· 2 shared Benedict Hew· 1 shared Jonathan Wei Xiong NgiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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3 shared papersBioinformatics

Marek MutwilORCID

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3 papers

Recent·Most cited

LSTrAP-Kingdom: an automated pipeline to generate annotated gene expression atlases for kingdoms of life

William Goh, Marek Mutwil

LSTrAP-Kingdom automates gene expression atlas generation across kingdoms by processing RNA-seq data and producing annotated matrices comparable to manual curation.

Bioinformatics · Mar 8, 2021Peer-reviewedBioinformatics

LSTrAP-Crowd: Prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

Benedict Hew, Qiao Wen Tan, William Goh, Jonathan Wei Xiong Ng, Marek Mutwil

The paper uses crowdsourced analysis of RNA-seq data to identify uncharacterized genes associated with protein synthesis in bacterial pathogens.

BMC Biology · Sep 3, 2020Peer-reviewedBioinformatics

LSTrAP-Cloud: A User-friendly Cloud ComputingPipeline to Infer Co-functional and RegulatoryNetworks

Qiao Wen Tan, William Goh, Marek Mutwil

LSTrAP-Cloud is a cloud-based pipeline that infers gene co-expression networks from RNA sequencing data to identify functionally related genes.

Genes · Apr 16, 2020Peer-reviewedBioinformatics