204 related articles for article (PubMed ID: 33588348)
1. Validation of a top-down DNA profile analysis for database searching using a fully continuous probabilistic genotyping model.
Taylor D; Bright JA; Scandrett L; Abarno D; Lee SI; Wivell R; Kelly H; Buckleton J
Forensic Sci Int Genet; 2021 May; 52():102479. PubMed ID: 33588348
[TBL] [Abstract][Full Text] [Related]
2. Internal Validation of MaSTR™ Probabilistic Genotyping Software for the Interpretation of 2-5 Person Mixed DNA Profiles.
Adamowicz MS; Rambo TN; Clarke JL
Genes (Basel); 2022 Aug; 13(8):. PubMed ID: 36011340
[TBL] [Abstract][Full Text] [Related]
3. ProbRank: An efficient DNA database search method for complex mixtures per a quantitative likelihood ratio model.
Hoogenboom J; Sijen T; Benschop C
Forensic Sci Int Genet; 2023 Jul; 65():102884. PubMed ID: 37150077
[TBL] [Abstract][Full Text] [Related]
4. Internal validation of STRmix™ for the interpretation of single source and mixed DNA profiles.
Moretti TR; Just RS; Kehl SC; Willis LE; Buckleton JS; Bright JA; Taylor DA; Onorato AJ
Forensic Sci Int Genet; 2017 Jul; 29():126-144. PubMed ID: 28504203
[TBL] [Abstract][Full Text] [Related]
5. Performance of a method for weighting a range in the number of contributors in probabilistic genotyping.
McGovern C; Cheng K; Kelly H; Ciecko A; Taylor D; Buckleton JS; Bright JA
Forensic Sci Int Genet; 2020 Sep; 48():102352. PubMed ID: 32707473
[TBL] [Abstract][Full Text] [Related]
6. Searching mixed DNA profiles directly against profile databases.
Bright JA; Taylor D; Curran J; Buckleton J
Forensic Sci Int Genet; 2014 Mar; 9():102-10. PubMed ID: 24528588
[TBL] [Abstract][Full Text] [Related]
7. Application of a probabilistic genotyping software to MPS mixture STR data is supported by similar trends in LRs compared with CE data.
Benschop CCG; van der Gaag KJ; de Vreede J; Backx AJ; de Leeuw RH; Zuñiga S; Hoogenboom J; de Knijff P; Sijen T
Forensic Sci Int Genet; 2021 May; 52():102489. PubMed ID: 33677249
[TBL] [Abstract][Full Text] [Related]
8. Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles.
Bright JA; Taylor D; McGovern C; Cooper S; Russell L; Abarno D; Buckleton J
Forensic Sci Int Genet; 2016 Jul; 23():226-239. PubMed ID: 27235797
[TBL] [Abstract][Full Text] [Related]
9. TrueAllele(®) Genotype Identification on DNA Mixtures Containing up to Five Unknown Contributors.
Perlin MW; Hornyak JM; Sugimoto G; Miller KW
J Forensic Sci; 2015 Jul; 60(4):857-68. PubMed ID: 26189920
[TBL] [Abstract][Full Text] [Related]
10. STRmix
Noël S; Noël J; Granger D; Lefebvre JF; Séguin D
Forensic Sci Int Genet; 2019 Jul; 41():24-31. PubMed ID: 30947115
[TBL] [Abstract][Full Text] [Related]
11. Using the Nondonor Distribution to Improve Communication and Inform Decision Making for Low LRs from Minor Contributors in Mixed DNA Profiles.
Schuerman C; Kalafut T; Buchanan C; Sutton J; Bright JA
J Forensic Sci; 2020 Jul; 65(4):1072-1084. PubMed ID: 32134501
[TBL] [Abstract][Full Text] [Related]
12. DNA mixtures interpretation - A proof-of-concept multi-software comparison highlighting different probabilistic methods' performances on challenging samples.
Alladio E; Omedei M; Cisana S; D'Amico G; Caneparo D; Vincenti M; Garofano P
Forensic Sci Int Genet; 2018 Nov; 37():143-150. PubMed ID: 30173123
[TBL] [Abstract][Full Text] [Related]
13. Probabilistic genotyping of single cell replicates from complex DNA mixtures recovers higher contributor LRs than standard analysis.
Huffman K; Hanson E; Ballantyne J
Sci Justice; 2022 Mar; 62(2):156-163. PubMed ID: 35277229
[TBL] [Abstract][Full Text] [Related]
14. Using big data from probabilistic genotyping to solve crime.
Taylor D; Abarno D
Forensic Sci Int Genet; 2022 Mar; 57():102631. PubMed ID: 34861631
[TBL] [Abstract][Full Text] [Related]
15. Interpreting a major component from a mixed DNA profile with an unknown number of minor contributors.
Bille T; Weitz S; Buckleton JS; Bright JA
Forensic Sci Int Genet; 2019 May; 40():150-159. PubMed ID: 30844683
[TBL] [Abstract][Full Text] [Related]
16. Interpreting forensic DNA profiling evidence without specifying the number of contributors.
Taylor D; Bright JA; Buckleton J
Forensic Sci Int Genet; 2014 Nov; 13():269-80. PubMed ID: 25261845
[TBL] [Abstract][Full Text] [Related]
17. Single-cell investigative genetics: Single-cell data produces genotype distributions concentrated at the true genotype across all mixture complexities.
Grgicak CM; Bhembe Q; Slooten K; Sheth NC; Duffy KR; Lun DS
Forensic Sci Int Genet; 2024 Mar; 69():103000. PubMed ID: 38199167
[TBL] [Abstract][Full Text] [Related]
18. Inferring the Number of Contributors to Complex DNA Mixtures Using Three Methods: Exploring the Limits of Low-Template DNA Interpretation.
Alfonse LE; Tejada G; Swaminathan H; Lun DS; Grgicak CM
J Forensic Sci; 2017 Mar; 62(2):308-316. PubMed ID: 27907229
[TBL] [Abstract][Full Text] [Related]
19. DNA mixture genotyping by probabilistic computer interpretation of binomially-sampled laser captured cell populations: combining quantitative data for greater identification information.
Ballantyne J; Hanson EK; Perlin MW
Sci Justice; 2013 Jun; 53(2):103-14. PubMed ID: 23601717
[TBL] [Abstract][Full Text] [Related]
20. A top-down approach to DNA mixtures.
Slooten K
Forensic Sci Int Genet; 2020 May; 46():102250. PubMed ID: 32169810
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]