Samuel Payne

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Associate Professor of Bioinformatics

Brigham Young University

United States

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About

Samuel Payne is an Associate Professor of Bioinformatics at Brigham Young University, USA. His research primarily focuses on bioinformatics applications in cancer and proteomics, as evidenced by his recent work on mRNA/protein regulation and single-cell proteomics. He contributes to advancements in mass spectrometry data management and is involved in exploring genetic variants associated with Alzheimer's disease.

Recent Grants

Grant: Close

Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation

Open Date: 2016-09-15

Close Date: 2021-08-31

Grant: Close

Automated Proteogenomic Annotation for Prokaryotic Genomes

Open Date: 2010-11-01

Close Date: 2012-08-31

Grant: Close

Automated Proteogenomic Annotation for Prokaryotic Genomes

Open Date: 2009-09-01

Close Date: 2011-02-28

Articles (17)

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2025

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

Justin Miller

University of Kentucky

UNITED STATES

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Ryan Kelly

Associate Professor

Brigham Young University

UNITED STATES

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Pam Van Ry

Assistant Professor

Brigham Young University

UNITED STATES

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Elizabeth Gibbons Bailey

Assistant Professor

Brigham Young University

UNITED STATES

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Samuel Payne

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (17)

Activating Cancer Hallmarks through Changes in mRNA/Protein Regulation

MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization

Ramp Sequence May Explain Synonymous Variant Association with Alzheimer’s Disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (PILRA)

Attracting Computational Researchers to Proteomics

Regulation of bacterial stringent response by an evolutionarily conserved ribosomal protein L11 methylation

Are We There Yet? Assessing the Readiness of Single-Cell Proteomics to Answer Biological Hypotheses

HyperSCP: Combining Isotopic and Isobaric Labeling for Higher Throughput Single-Cell Proteomics

Challenges and Opportunities for Single-cell Computational Proteomics

A proteomic meta-analysis refinement of plasma extracellular vesicles

A Preprocessing Tool for Enhanced Ion Mobility–Mass Spectrometry-Based Omics Workflows

Features of Peptide Fragmentation Spectra in Single-Cell Proteomics

Online Tools for Teaching Cancer Bioinformatics

Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling

Detecting fabrication in large-scale molecular omics data

Simplified and Unified Access to Cancer Proteogenomic Data

Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics

Simple and Efficient Data Analysis Dissemination for Individual Laboratories

Collaborators (4)

Justin Miller

Ryan Kelly

Pam Van Ry

Elizabeth Gibbons Bailey

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