Skip to main content
Samuel Payne.jpg

Samuel Payne

Associate Professor
Biology

4029 LSB
Provo, UT
84602

801-422-6652

Biography

Dr. Payne received a B.S. of computer science at Brigham Young University and a Ph.D. in Bioinformatics from UC, San Diego working. His current research focuses on cancer biology, algorithm design and data integration.

Teaching Interests

Algorithms in bioinformatics, bioethics, research methodology, undergraduate training

Research Interests

Bioinformatics, cancer biology, proteomics, protein function

Education

  • Doctor of Philosophy, Bioinformatics, UC San Diego, 2008
  • Bachelor of Science, Computer Science, Brigham Young University, 2002

Experience

Professional

  • Senior Bioinformatics Scientist, Pacific Northwest National Library, 2010-2018
  • Bioinformatics Engineer - Principle Investigator, J Craig Venter Institute, 2008-2010

Courses Taught

Winter 2019

  • BIO 165: Introduction to Bioinformatics Section 002
  • BIO 465: Capstone in Bioinformatics Section 001
  • BIO 494R: Mentored Research Section 037, 041

Fall 2018

  • BIO 494R: Mentored Research Section 028

Publications

Journal Articles

Jarman KH, Heller NC, Jenson SC, Hutchison JR, Payne SH, Wunschel DS, Merkley ED. 2018. Proteomics Goes to Court: A Statistical Foundation for Forensic Toxin/Organism Identification Using Bottom-Up Proteomics.

Lee JY, Fujimoto GM, Wilson R, Wiley HS, Payne SH. 2018. Blazing Signature Filter: a library for fast pairwise similarity comparisons. 19(1):221.

The M, Edfors F, Perez-Riverol Y, Payne SH, Hoopmann MR, Palmblad M, Forsström B, Käll L. 2018. A Protein Standard That Emulates Homology for the Characterization of Protein Inference Algorithms. Journal of proteome research. 17(5):1879-1886.

Nakayasu ES, Burnet MC, Walukiewicz HE, Wilkins CS, Shukla AK, Brooks S, Plutz MJ, Lee BD, Schilling B, Wolfe AJ, et al. 2017. Ancient Regulatory Role of Lysine Acetylation in Central Metabolism. 8(6).

Park J, Piehowski PD, Wilkins C, Zhou M, Mendoza J, Fujimoto GM, Gibbons BC, Shaw JB, Shen Y, Shukla AK, et al. 2017. Informed-Proteomics: open-source software package for top-down proteomics. 14(9):909-914.

Ting YS, Egertson JD, Bollinger JG, Searle BC, Payne SH, Noble WS, MacCoss MJ. 2017. PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data. 14(9):903-908.

Kyle JE, Crowell KL, Casey CP, Fujimoto GM, Kim S, Dautel SE, Smith RD, Payne SH, Metz TO. 2017. LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data. 33(11):1744-1746.

Ruggles KV, Krug K, Wang X, Clauser KR, Wang J, Payne SH, Fenyö D, Zhang B, Mani DR. 2017. Methods, Tools and Current Perspectives in Proteogenomics. 16(6):959-981.

Na S, Payne SH, Bandeira N. 2016. Multi-species Identification of Polymorphic Peptide Variants via Propagation in Spectral Networks. 15(11):3501-3512.

Zhang H, Liu T, Zhang Z, Payne SH, Zhang B, McDermott JE, Zhou JY, Petyuk VA, Chen L, Ray D, et al. 2016. Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer. 166(3):755-765.

Sun J, Todd JD, Thrash JC, Qian Y, Qian MC, Temperton B, Guo J, Fowler EK, Aldrich JT, Nicora CD, et al. 2016. The abundant marine bacterium Pelagibacter simultaneously catabolizes dimethylsulfoniopropionate to the gases dimethyl sulfide and methanethiol. 1(8):16065.

Gibbons BC, Chambers MC, Monroe ME, Tabb DL, Payne SH. 2015. Correcting systematic bias and instrument measurement drift with mzRefinery. 31(23):3838-40.

Payne SH, Monroe ME, Overall CC, Kiebel GR, Degan M, Gibbons BC, Fujimoto GM, Purvine SO, Adkins JN, Lipton MS, et al. 2015. The Pacific Northwest National Laboratory library of bacterial and archaeal proteomic biodiversity. 2:150041.

Tripp HJ, Sutton G, White O, Wortman J, Pati A, Mikhailova N, Ovchinnikova G, Payne SH, Kyrpides NC, Ivanova N. 2015. Toward a standard in structural genome annotation for prokaryotes. 10:45.

Payne SH. 2015. The utility of protein and mRNA correlation. 40(1):1-3.

Prost SA, Crowell KL, Baker ES, Ibrahim YM, Clowers BH, Monroe ME, Anderson GA, Smith RD, Payne SH. 2014. Detecting and removing data artifacts in Hadamard transform ion mobility-mass spectrometry measurements. 25(12):2020-2027.

Amidan BG, Orton DJ, Lamarche BL, Monroe ME, Moore RJ, Venzin AM, Smith RD, Sego LH, Tardiff MF, Payne SH. 2014. Signatures for mass spectrometry data quality. 13(4):2215-22.

Fujimoto GM, Monroe ME, Rodriguez L, Wu C, MacLean B, Smith RD, MacCoss MJ, Payne SH. 2014. Accounting for population variation in targeted proteomics. 13(1):321-3.

Ansong C, Ortega C, Payne SH, Haft DH, Chauvignè-Hines LM, Lewis MP, Ollodart AR, Purvine SO, Shukla AK, Fortuin S, et al. 2013. Identification of widespread adenosine nucleotide binding in Mycobacterium tuberculosis. 20(1):123-33.

Payne SH, Bonissone S, Wu S, Brown RN, Ivankov DN, Frishman D, Pasa-Tolić L, Smith RD, Pevzner PA. 2012. Unexpected diversity of signal peptides in prokaryotes. 3(6).

Haft DH, Payne SH, Selengut JD. 2012. Archaeosortases and exosortases are widely distributed systems linking membrane transit with posttranslational modification. 194(1):36-48.

Venter E, Smith RD, Payne SH. 2011. Proteogenomic analysis of bacteria and archaea: a 46 organism case study. 6(11):e27587.

Castellana NE, Payne SH, Shen Z, Stanke M, Bafna V, Briggs SP. 2008. Discovery and revision of Arabidopsis genes by proteogenomics. 105(52):21034-8.

Payne SH, Yau M, Smolka MB, Tanner S, Zhou H, Bafna V. 2008. Phosphorylation-specific MS/MS scoring for rapid and accurate phosphoproteome analysis. 7(8):3373-81.

Presentations

Oliphant AE, Hoskins EL, Adams DW, Beecroft SJ, Payne SH. Effects of TP53 Mutation on Protein Expression and Function in Endometrial Cancer. Rocky Mountain Bioinformatics conference. Snowmass CO. 2018.

Adams DW, Beecroft SJ, Hoskins EL, Oliphant AE, Payne SH. Facilitating CPTAC Data for Data Scientists. Rocky Mountain Bioinformatics conference. Snowmass CO. 2018.

Payne SH. Proteomics of natural bacterial isolates via deep learning-based de novo identification. Rocky Mountain Bioinformatics conference. Snowmass CO. 2018.

Payne SH. Proteomics of natural bacterial isolates via deep learning-based de novo identification. Rocky Mountain Bioinformatics conference. Snowmass CO. 2018.