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Citations & Papers

Citations and Papers

We are pleased and proud that leading researchers over the world choose our analytical tools to insure the accuracy of their research:

Mutation Surveyor citations

GeneMarker citations

GeneMarker HID citations

GeneMarker HTS citations

NextGENe citations

ChimeRMarker citations

Geneticist Assistant citations

Citations of SoftGenetics GeneMarker HTS Software

2020

  1. Chen, Yucai, Changsheng Liu, William Davis Parker, Hongyi Chen, Thomas G. Beach, Xinhua Liu, Geidy E. Serrano, et al. Mitochondrial DNA Rearrangement Spectrum in Brain Tissue of Alzheimer’s Disease: Analysis of 13 Cases. PLOS ONE 11, no. 6 (June 14, 2016): e0154582. (Read the article)
  2. Brandhagen, Michael D, Just, Rebecca S., Irwin, Jodi A. Validation of NGS for mitochondrial DNA casework at the FBI Laboratory Volume 44, 102151, (January 01, 2020) (Read the article)
  3. Garcia, Oscar, Alonso, Santos, Huber, Nicole, Bodner, Martin, Parson, Walther. Forensically relevant phylogeographic evaluation of mitogenome variation in the Basque Country. Forensic Sci Int Genet.;46:102260. doi: 10.1016/j.fsigen.2020.102260. Epub 2020 Feb 6 (Read the article)
  4. Holland, Mitchell M., Kateryna D. Makova, and Jennifer A. McElhoe. Deep-Coverage MPS
    Analysis of Heteroplasmic Variants within the MtGenome Allows for Frequent Differentiation of Maternal Relatives.     Genes 9, no. 3 (February 1, 2018): 124. (Read the article)
  5. Holland, Mitchell M., Erica D. Pack, and Jennifer A. McElhoe. Evaluation of GeneMarker® HTS for Improved Alignment of MtDNA MPS Data, Haplotype Determination, and Heteroplasmy Assessment. Forensic Science International: Genetics 28 (May 1, 2017): 90–98. (Read the article)
  6. Holland, Mitchell M., Laura A. Wilson, Sarah Copeland, Gloria Dimick, Charity A. Holland, Robert Bever, and Jennifer A. Mcelhoe. MPS Analysis of the MtDNA Hypervariable Regions on the MiSeq with Improved Enrichment. International Journal of Legal Medicine; Heidelberg 131, no. 4 (July 2017): 919–31. (Read the article)
  7. McElhoe, JA, Holland Mitchell M. Characterization of background noise in MiSeq MPS data when sequencing human mitochondrial DNA from various sample sources and library preparation methods. (February 14, 2020): 52:40-55. doi: 10.1016/j.mito.2020.02.005. Mitochondrion. (Read the article)
  8. Riman, Sarah, Kevin M. Kiesler, Lisa A. Borsuk, and Peter M. Vallone. Characterization of NIST Human Mitochondrial DNA SRM-2392 and SRM-2392-I Standard Reference Materials by next Generation Sequencing. Forensic Science International: Genetics 29 (July 1, 2017): 181–92. (Read the article)
  9. Shih, Shelly, Jessica Lim, Mary Wisner, Henry Erlich, and Cassandra Calloway. Resolution of MtDNA Mixtures Using a Probe Capture next Generation Sequencing System and Custom Analysis Software. Forensic Science International: Genetics Supplement Series, The 28th Congress of the International Society for Forensic Genetics, 7, no. 1 (December 1, 2019): 658–60. (Read the article)
  10. Shih, Shelly Y., Nikhil Bose, Anna Beatriz R. Gonçalves, Henry A. Erlich, and Cassandra D.
    Calloway. Applications of Probe Capture Enrichment Next Generation Sequencing for Whole Mitochondrial Genome and 426 Nuclear SNPs for Forensically Challenging Samples. Genes; Basel 9, no. 1 (2018): 49. (Read the article)
  11. Zavala, Elena I., Swetha Rajagopal, George H. Perry, Ivana Kruzic, Željana Bašić, Thomas J. Parsons, and Mitchell M. Holland. Impact of DNA Degradation on Massively Parallel Sequencing-Based Autosomal STR, IiSNP, and Mitochondrial DNA Typing Systems. International Journal of Legal Medicine 133, no. 5 (September 1, 2019): 1369–80. (Read the article)
  12. Holland, M.M., n.d. Assessing the Effects of DNA Damage on Next Generation mtDNA Sequencing. April 2019 14. (Read the article)
  13. Cho, S., Kim, M.Y., Lee, J.H., Lee, S.D., 2018. Assessment of mitochondrial DNA heteroplasmy detected on commercial panel using MPS system with artificial mixture samples. Int. J. Legal Med. 132, 1049–1056. (Read the article)
  14. Burges, A., Epelde, L., Benito, G., Artetxe, U., Becerril, J.M., Garbisu, C., 2016. Enhancement of ecosystem services during endophyte-assisted aided phytostabilization of metal contaminated mine soil. Science of The Total Environment 562, 480–492. (Read the article)
  15. Franquès, J., Araque, I., Palahí, E., Portillo, M. del C., Reguant, C., Bordons, A., 2017. Presence of Oenococcus oeni and other lactic acid bacteria in grapes and wines from Priorat (Catalonia, Spain). LWT - Food Science and Technology 81, 326–334. (Read the article)
  16. Genetic Disease & Gene Regulation, 2015. . Journal of Investigative Dermatology 135,
    S74–S80. (Read the article)
  17. Morán-López, T., Robledo-Arnuncio, J.J., Díaz, M., Morales, J.M., Lázaro-Nogal, A., Lorenzo, Z., Valladares, F., 2016. Determinants of functional connectivity of holm oak woodlands: Fragment size and mouse foraging behavior. Forest Ecology and Management 368, 111–122. (Read the article)
  18. Sturk-Andreaggi, K., Peck, M.A., Boysen, C., Dekker, P., McMahon, T.P., Marshall, C.K., 2017. AQME: A forensic mitochondrial DNA analysis tool for next-generation sequencing data. Forensic Science International: Genetics 31, 189–197. (Read the article)
  19. Abstracts, 2018. . The Journal of Molecular Diagnostics 20, 895–1039. (Read the article)
  20. Gallimore, J.M., McElhoe, J.A., Holland, M.M., 2018. Assessing heteroplasmic variant drift in the mtDNA control region of human hairs using an MPS approach. Forensic Science International: Genetics 32, 7–17. (Read the article)
  21. Liu, Y.-Y., Harbison, S., 2018. A review of bioinformatic methods for forensic DNA analyses. Forensic Science International: Genetics 33, 117–128. (Read the article)
  22. Habtom, H., Pasternak, Z., Matan, O., Azulay, C., Gafny, R., Jurkevitch, E., 2019. Applying microbial biogeography in soil forensics. Forensic Science International: Genetics 38, 195–203. (Read the article)
  23. Holland, M.M., Bonds, R.M., Holland, C.A., McElhoe, J.A., 2019. Recovery of mtDNA from unfired metallic ammunition components with an assessment of sequence profile quality and DNA damage through MPS analysis. Forensic Science International: Genetics 39, 86–96. (Read the article)
  24. Liu, C.S., Luo, L., McGuigan, J., Wu, J., Todd, J., Prosser, C., Copeland, S., Snyder-Leiby, T., 2019. High throughput sequencing data analysis workflow: mtDNA variant detection and identification of STR/Y-STR alleles and iso-alleles. Forensic Science International: Genetics Supplement Series. (Read the article)
  25. Brandhagen, M.D., Just, R.S., Irwin, J.A., 2020. Validation of NGS for mitochondrial DNA casework at the FBI Laboratory. Forensic Science International: Genetics 44, 102151. (Read the article)

2017

  1. Beyond the STRs: A comprehensive view of current forensic DNA markers
    characterized in the PCR-based DNA profiling standard SRM 2391D
    Carolyn R. Steffen⁎, Kevin M. Kiesler, Lisa A. Borsuk, Peter M. Vallone Forensic Science International: Genetics Supplement Series 6 (2017) e426–e427 (Read the article)
  2. A phylogenetic approach for haplotype analysis of sequence data from complex mitochondrial mixtures (2017 in press) Samuel H. Vohr, Rachel Gordon, Jordan M. Eizenga, Henry A. Erlich, Cassandra D. Calloway, Richard E. Green (Read the article)
  3. Evaluation of GeneMarker HTS for improved alignment of mtDNA MPS data, haplotype determination, and heteroplasmy assessment.  Mitchell M. Holland, Erica D. Pack, Jennifer A. McElhoe. Forensic Science International: Genetics 28 (2017) 90–98. (Read the article)
  4. Characterization of NIST Human Mitochondrial DNA SRM-2392 and SRM-2392-I Standard Reference Materials by Next Generation Sequencing.  Sarah Riman, Kevin M. Kiesler, Lisa A. Borsuk, Peter M. Vallone. Forensic Science International: Genetics (Read the article)
  5. Evaluation of GeneMarker HTS for improved alignment of mtDNA MPS data, haplotype determination, and heteroplasmy assessment. Mitchell M. Holland, Erica D. Pack, Jennifer A. McElhoe. Forensic Science International 28 (2017) 90–98. (Read the article)
  6. Mitochondrial DNA Rearrangement Spectrum in Brain Tissue of Alzheimer’s Disease: Analysis of 13 Cases Chen, et al. PLoS One. 2016; 11(6): e0154582. Published online 2016 Jun 14. doi: 10.1371/journal.pone.0154582 (Read the article)
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