Author

A. P. White

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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Microbiology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 2 Organism:bacteria (other)· 1 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:E. coli· 1

Frequent Co-Authors

G. Zhu· 2 shared X. Chen· 2 shared Y. Wang· 2 shared A. Gupta· 1 shared A. M. Cypess· 1 shared A. M. Streets· 1 shared F. Shamsi· 1 shared G. F. Dorlhiac· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

G. Zhu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Mosaic Evolution of Beta Barrel Porin Encoding Genes in Escherichia coli

X. Chen, X. Cai, Z. Chen, J. Wu, G. Hao, Q. Luo, G. Zhu, W. Koester, A. P. White, Y. Cai, Y. Wang

The paper identifies mosaic evolution in multiple beta-barrel porin genes in E. coli, showing local recombination and sequence variation that may help bacteria evade environmental threats.

bioRxiv · Sep 21, 2021Microbiology

Characterization of transcript enrichment and detection bias in single-nuclei RNA-seq for mapping of distinct human adipocyte lineages

A. Gupta, F. Shamsi, N. Altemose, G. F. Dorlhiac, A. M. Cypess, A. P. White, M. E. Patti, Y.-H. Tseng, A. M. Streets

This study compares snRNA-seq and scRNA-seq in adipose tissue, showing snRNA-seq can identify cell types but has transcript enrichment and detection biases that require normalization.

bioRxiv · Mar 24, 2021Bioengineering

The Evolution and Sequence Diversity of FhuA in Salmonella and Escherichia

Y. Wang, X. Chen, G. Zhu, A. P. White, W. Köster

This paper investigates the sequence diversity and evolutionary patterns of the fhuA gene in Salmonella and Escherichia, revealing unique clustering and mutation patterns that suggest gene recombination and selection pressure.

bioRxiv · May 11, 2018Microbiology