Bio-Analytical Chemistry, Human Identity & Forensic Publications

Grgicak CM; Bhembe Q; Slooten K; Sheth NC; Duffy KR; Lun DS, 2024. Single-cell investigative genetics: Single-cell data produces genotype distributions concentrated at the true genotype across all mixture complexities.  Forensic Sci Int Genet 69:103000

Duffy KR; Lun DS; Mulcahy MM; O'Donnell L; Sheth N; Grgicak CM, 2023. Evidentiary evaluation of single cells renders highly informative forensic comparisons across multifarious admixtures.  Forensic Sci Int Genet 64:102852

Grgicak CM; Duffy KR; Lun D, 2022. Corrigendum to "The a posteriori probability of the number of contributors when conditioned on an assumed contributor" [Forensic Sci. Int. Genet. 54 (2021) 102563].  Forensic Sci Int Genet 58:102666

Santiago-McRae E; Oh SW; Carlo AM; Bar O; Guan E; Zheng D; Grgicak C; Fu J, 2022. Rapid Nucleic Acid Reaction Circuits for Point-of-care Diagnosis of Diseases.  Curr Top Med Chem 22(8):686-698

Sheth N; Duffy KR; Grgicak CM, 2022. High-quality data from a forensically relevant single-cell pipeline enabled by low PBS and proteinase K concentrations.  J Forensic Sci 67(2):697-706

Grgicak CM; Duffy KR; Lun DS, 2021. The a posteriori probability of the number of contributors when conditioned on an assumed contributor.  Forensic Sci Int Genet 54:102563

Valtl J; Mönich UJ; Lun DS; Kelley J; Grgicak CM, 2021. A series of developmental validation tests for Number of Contributors platforms: Exemplars using NOCIt and a neural network.  Forensic Sci Int Genet 54:102556

Sheth N; Swaminathan H; Gonzalez AJ; Duffy KR; Grgicak CM, 2021. Towards developing forensically relevant single-cell pipelines by incorporating direct-to-PCR extraction: compatibility, signal quality, and allele detection.  Int J Legal Med 135(3):727-738

Grgicak CM; Karkar S; Yearwood-Garcia X; Alfonse LE; Duffy KR; Lun DS, 2020. A large-scale validation of NOCIt's a posteriori probability of the number of contributors and its integration into forensic interpretation pipelines.  Forensic Sci Int Genet 47:102296

Karkar S; Alfonse LE; Grgicak CM; Lun DS, 2019. Statistical modeling of STR capillary electrophoresis signal.  BMC Bioinformatics 20(Suppl 16):584

Swaminathan H; Qureshi MO; Grgicak CM; Duffy K; Lun DS, 2018. Four model variants within a continuous forensic DNA mixture interpretation framework: Effects on evidential inference and reporting.  PLoS One 13(11):e0207599

Norsworthy S; Lun DS; Grgicak CM, 2018. Determining the number of contributors to DNA mixtures in the low-template regime: Exploring the impacts of sampling and detection effects.  Leg Med (Tokyo) 32:1-8

Alfonse LE; Garrett AD; Lun DS; Duffy KR; Grgicak CM, 2018. A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt.  Forensic Sci Int Genet 32:62-70

Alfonse LE; Tejada G; Swaminathan H; Lun DS; Grgicak CM, 2017. Inferring the Number of Contributors to Complex DNA Mixtures Using Three Methods: Exploring the Limits of Low-Template DNA Interpretation.  J Forensic Sci 62(2):308-316

Peters KC; Swaminathan H; Sheehan J; Duffy KR; Lun DS; Grgicak CM, 2017. Production of high-fidelity electropherograms results in improved and consistent DNA interpretation: Standardizing the forensic validation process.  Forensic Sci Int Genet 31:160-170

Duffy KR; Gurram N; Peters KC; Wellner G; Grgicak CM, 2017. Exploring STR signal in the single- and multicopy number regimes: Deductions from an in silico model of the entire DNA laboratory process.  Electrophoresis 38(6):855-868

Swaminathan H; Garg A; Grgicak CM; Medard M; Lun DS, 2016. CEESIt: A computational tool for the interpretation of STR mixtures.  Forensic Sci Int Genet 22:149-160

Rowan KE; Wellner GA; Grgicak CM, 2016. Exploring the Impacts of Ordinary Laboratory Alterations During Forensic DNA Processing on Peak Height Variation, Thresholds, and Probability of Dropout.  J Forensic Sci 61(1):177-85

Mönich UJ; Duffy K; Médard M; Cadambe V; Alfonse LE; Grgicak C, 2015. Probabilistic characterisation of baseline noise in STR profiles.  Forensic Sci Int Genet 19:107-122

Swaminathan H; Grgicak CM; Medard M; Lun DS, 2015. NOCIt: a computational method to infer the number of contributors to DNA samples analyzed by STR genotyping.  Forensic Sci Int Genet 16:172-180

Oechsle CS; Haddad S; Sgueglia JB; Grgicak CM, 2014. Screening biological stains with qPCR versus lateral flow immunochromatographic test strips: a quantitative comparison using analytical figures of merit.  J Forensic Sci 59(1):199-207

Wogan ME; Webster-Hoffmeyer KS; Grgicak CM, 2013. Corrosion behaviour of four handguns in aqueous environments: corrosion product characterization and effects on estimating the time since deposition.  Sci Justice 53(3):363-70

Hennekens CM; Cooper ES; Cotton RW; Grgicak CM, 2013. The effects of differential extraction conditions on the premature lysis of spermatozoa.  J Forensic Sci 58(3):744-52

Bregu J; Conklin D; Coronado E; Terrill M; Cotton RW; Grgicak CM, 2013. Analytical thresholds and sensitivity: establishing RFU thresholds for forensic DNA analysis.  J Forensic Sci 58(1):120-9

Rakay CA; Bregu J; Grgicak CM, 2012. Maximizing allele detection: Effects of analytical threshold and DNA levels on rates of allele and locus drop-out.  Forensic Sci Int Genet 6(6):723-8

Grgicak CM; Urban ZM; Cotton RW, 2010. Investigation of reproducibility and error associated with qPCR methods using Quantifiler® Duo DNA quantification kit.  J Forensic Sci 55(5):1331-9

Grgicak CM; Rogers S; Mauterer C, 2006. Discovery and identification of new D13S317 primer binding site mutations.  Forensic Sci Int 157(1):36-9

Publication list retrieved from NCBI using ImpactPubs


Other Publications

C.M. Grgicak, M.M. Pakulska, J.S. O’Brien and J.B. Giorgi. Synergistic effects of Ni1−xCox-YSZ and Ni1−xCux-YSZ alloyed cermet SOFC anodes for oxidation of hydrogen and methane fuels containing H2S.  Journal of Power Sources, 183, 26-33 (2008).

C.M. Grgicak, R.G. Green and J.B. Giorgi. SOFC Anodes for Direct Oxidation of Hydrogen and Methane Fuels Containing H2S.  Journal of Power Sources, 179, 317-328 (2008).

C.M. Grgicak, J.G. Giorgi. Improved Performance of Ni- and Co-YSZ Anodes via Sulfidation to NiS- and CoS-YSZ.  Effects of Temperature on Electrokinetic Parameters.  Journal of Physical Chemistry C, 111, 15446-15455 (2007).

C.M Pakulska, C.M. Grgicak and J.B. Giorgi. The Effect of Metal and Support Particle Size on NiO/CeO2 and NiO/ZrO2 Catalyst Activity in Complete Methane Oxidation.  Applied Catalysis A:  General, 332, 124-129 (2007).

Poulin, M.A. Brown, Y.A. Wasslen, C.M. Grgicak, K. Fagnou and J.B. Giorgi. Reactivity of Mesoporous Palladium Yttria-Stabilized Zirconia for Solution Phase Reactions.  Canadian Journal of Chemistry, 84, 1-9 (2006).

C.M. Grgicak, R.G. Green and J.B. Giorgi. Control of Microstructure, Sinterability and Performance in Co-Precipitated NiYSZ, CuYSZ and CoYSZ SOFC Anodes.  Journal of Materials Chemistry, 16, 885-897 (2006).

C.M. Grgicak, R.G. Green, W.F. Du and J.B. Giorgi. Synthesis and Characterization of NiO-YSZ Anode Materials:  Precipitation, Calcination and the Effects on Sintering.  Journal of the American Ceramic Society, 88, 3081-3087 (2005).