Crill, J. E. (2026). Complete diploid genome of the type strain Yarrowia lipolytica YB-423 (ATCC 18942™). Journal of Industrial Microbiology & Biotechnology, 53. Complete diploid genome of the type strain Yarrowia lipolytica YB-423 (ATCC 18942™)

Pedraza, N., & Marciano, M. (2025). Simple and nondestructive method to access and process material on coverslipped slides. Journal of Forensic Sciences, 70(5), 2006 2009. https://doi.org/doi: 10.1111/1556-4029.70083

Dawson, H., LaBat, D., Sparacino, M., Marciano, M., & Schreiber Compo, N. (2025). DNA analysts' experiences with human factors: A quantitative and qualitative snapshot. Journal of Forensic Sciences, 70(4), 1414–1423. DNA analysts' experiences with human factors: A quantitative and qualitative snapshot

Vandepoele, A., Novotna, N., Myers, D., & Marciano, M. (2025). Characterizing stutter in single cells and the impact on multi-cell analysis. Forensic Science International: Genetics, 76(103211), 1–10. Characterizing stutter in single cells and the impact on multi-cell analysis

Enzweiler, A., Kenneway, L., Kang, C., & Pettolina, M. (2025). The Efficacy of Bleach for Blood Decontamination of Evidence Placards. Journal of Forensic Identification, 75(3), 237–249.

Hogg, J., Vandepoele, A. C. W., Zaccheo, N., Schulte, J., Schulz, I., Dubois, J., Frank, M., & Marciano, M. (2024). Targeted recovery of male cells in a male and female same-cell mixture. Journal of Forensic Sciences, 69(4), 1183–1197. https://doi.org/10.1111/1556 4029.15514

Schulte, J., Caliebe, A., Marciano, M., Neuschwander, P., Seilberle, I., Scheurer, E., & Schulz, I. (2024). DEPArray™ single-cell technology: A validation study for forensic applications. Forensic Science International: Genetics, 70. DEPArray™ single-cell technology: A validation study for forensic applications

Schulte, J., Marciano, M., Scheurer, E., & Schulz, I. (2023). A systematic approach to improve downstream single-cell analysis for the DEPArray™ technology. J Forensic Sci, 00, 1–19. https://doi.org/10.1111/1556-4029.15344

Marciano, M., & Maynard, H. (2023). Enhancing Research and Collaboration in Forensic Science: A Primer on Data Sharing. Forensic Science International: Synergy, 6. https://doi.org/10.1016/j.fsisyn.2023.100323

Cordeiro, C., Gonceer, N., Dorus, S., Crill, J. E., MoshayoA, V., Lachman, A., Moran, A., Vilenchik, D., & Fedida-Metula, S. (2023). Fast, accurate, and cost-eAective poultry sex genotyping using real-time polymerase chain reaction. Frontiers in Veterinary Science, 10. Frontiers | Fast, accurate, and cost-effective poultry sex genotyping using real-time polymerase chain reaction

D'Angelo, O., Vandepoele, A., Adelman, J., and Marciano, M. (2022). Assessing non-LUS stutter in DNA sequence data. Forensic Science International: Genetics. 59, 2-14. https://doi.org/10.1016/j.fsigen.2022.102706

Young, B., Marciano, M., Crenshaw, K., Duncan, G., Armogida, L., and McCord, B. (2021) Match Statistics for Sequence-Based Profiles from Forensic PCR-MPS Kits. Electrophoresis 0, 1-10. https://doi.org/10.1002/elps.202000087

Watkins, D., Myers, D., Xavier, H., and Marciano, M. (2021). Revisiting Single Cell Analysis in Forensic Science. Nature Scientific Reports.10.1038/s41598-021-86271-6.

Malanio BP, Mehta, P, Kurimsky MT, Marciano, MA. (2020) Quantification of Cellular Material on Fired and Unfired Ammunition. AFTE Journal 52(4), 230-238.

Jokerst, D., & Pettolina, M. C. (2019). NIBIN policy and procedure. International Association for Property and Evidence, Inc., 2, 52 53. http://iape.org/evidencelog/current/evidencelog_2019no2.pdf

Kim, J., Marciano, M., Ninham, S., Zaso, M. J., & Park, A. (2019). Interaction Effects between the Cumulative Genetic Score and Psychosocial Stressor on Self-Reported Drinking Urge and Implicit Attentional Bias for Alcohol: A Human Laboratory Study. Alcohol and Alcoholism, 54(1), 30–37. https://doi.org/10.1093/alcalc/agy065.

Adelman, J.D., Zhao A., Eberst, D.S. and Marciano, M.A. (2019). Automated detection and removal of capillary electrophoresis artifacts due to spectral overlap. Electrophoresis 0, 1-9. https://doi.org/10.1002/elps.201900060.

Marciano M.A. and Adelman J.D. (2019). Developmental Validation of PACE™: Automated Artifact Identification and Contributor Estimation for use with GlobalFiler and PowerPlex®Fusion 6c Generated Data. Forensic Science International: Genetics 43,102140. https://doi.org/10.1016/j.fsigen.2019.102140.

Tate, D.; Anderson, E.; Eller, J. (2018). Assessing the Appearance of Latent Print Distortion on Absorbent and Nonabsorbent Substrates. Journal of Forensic Identification Volume 68, Issue 3, pages 403-420.

Marciano M.A., Williamson V.R. and Adelman J.D. (2018). A Hybrid Approach to Increase the Informedness of CE-based Data Using Locus-Specific Thresholding and Machine Learning. Forensic Science International: Genetics. 35, 26-37. https://doi.org/10.1016/j.fsigen.2018.03.017.

Marciano M.A., Panicker S.X., Liddil G.D., Lindgren D., Sweder K.S. (2018). Development of a Method to Extract Opium Poppy (Papaver somniferum L.) DNA from Heroin. Nature Scientific Reports 8 2590. https://doi.org/10.1038/s41598-018-20996-9.

Williamson V.R., Laris T.M., Romano R., Marciano M.A. (2018). Enhanced DNA Mixture Deconvolution of Sexual Offense Samples Using the DEPArray™ System. Forensic Science International: Genetics. 34, 265-276. https://doi.org/10.1016/j.fsigen.2018.03.001.

Marciano M.A. and Adelman J.D. (2017). PACE: Probabilistic Assessment for Contributor Estimation— A machine learning-based assessment of the number of contributors in DNA mixtures. Forensic Science International: Genetics 27, 82–91. https://doi.org/10.1016/j.fsigen.2016.11.006

Pettolina, M. C., Rainey, J., & Sanchez, R. (2017). Detection of latent bloodstains under coats of paint using BLUESTAR FORENSIC®. Journal of Forensic Identification, 67(3), 341 353.

McCook, S. J.; Tate, D. P.; Eller, J. B. (2016). Recovery of Latent Prints from Nonporous Objects Exposed to Snow. Journal of Forensic Identification Volume 66, Issue 6, Pages 577-590.