Author

Susan M. Bailey

Colorado State UniversityORCID 0000-0001-5595-9364Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Jared J. Luxton· 3 shared Lynn E. TayloriD· 3 shared Miles J. McKennaiD· 2 shared Aidan M. LewisiD· 1 shared Cem MeydaniD· 1 shared Christopher B. NelsoniD· 1 shared Christopher E. MasoniD· 1 shared Daniel ButleriD· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersGenomics

Jared J. Luxton

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GenomicsGenome ResearchPeer-reviewedJul 1, 2021

Haplotype Diversity and Sequence Heterogeneity of Human Telomeres

Kirill A. Grigorev, Jonathan Foox, Daniela Bezdan…·Christopher E. Mason

This study uses long-read sequencing to analyze human telomere sequences, revealing sequence heterogeneity and non-canonical motifs.

49 citations

humanlong-read sequencing

𝕏 PostBluesky

Molecular BiologyFrontiers in GeneticsPeer-reviewedMar 25, 2021

Telomeric Double Strand Breaks Facilitate Formation of 5' C-Rich Overhangs in G1 Human Cells

Christopher B. Nelson, Taghreed M. Al-Turki, Jared J. Luxton…·Susan M. Bailey

The paper investigates the cellular response to telomeric double-strand breaks in G1 phase human cells, finding that they lead to 5' C-rich overhangs associated with the ALT pathway.

7 citations

humanDNA methylation

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BioinformaticsJournal of Personalized MedicinePeer-reviewedMar 8, 2021

Telomere length and chromosomal instability for predicting individual radiosensitivity and risk via machine learning

Jared J. Luxton, Miles J. McKenna, Aidan M. Lewis…·Susan M. Bailey

The paper uses machine learning to predict individual radiosensitivity and risk based on telomere length and chromosomal instability data from prostate cancer patients undergoing radiotherapy.

21 citations

humanbulk RNA-seq

𝕏 PostBluesky