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Michael D Coble

Showing results (21-30 of 66) with videos related to

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Forensic Science International. Genetics|May 12, 2010
mtGenome reference population databases and the future of forensic mtDNA analysisJodi A Irwin, Walther Parson, Michael D Coble, et al.
Forensic Science International. Genetics|May 12, 2010
Population study of fourteen X chromosomal short tandem repeat loci in a population from Bosnia and HerzegovinaToni M Diegoli, Lejla Kovacevic, Naris Pojskic, et al.
Croatian Medical Journal|May 30, 2009
Evaluation of modified Yfiler amplification strategy for compromised samplesKimberly A Sturk, Michael D Coble, Suzanne M Barritt, et al.
Forensic Science International. Genetics|December 10, 2013
Comparison of base composition analysis and Sanger sequencing of mitochondrial DNA for four U.S. population groupsKevin M Kiesler, Michael D Coble, Thomas A Hall, et al.
Forensic Science International. Genetics|September 5, 2017
Corrigendum to 'U.S. Population Data for 29 Autosomal STR Loci' [Forensic Sci. Int. Genet. 7 (2013) e82-e83]Carolyn R Steffen, Michael D Coble, Katherine B Gettings, et al.
Forensic Science International. Genetics|August 16, 2015
Uncertainty in the number of contributors in the proposed new CODIS setMichael D Coble, Jo-Anne Bright, John S Buckleton, et al.
Journal of Forensic Sciences|November 17, 2007
Characterization of 26 miniSTR loci for improved analysis of degraded DNA samplesCarolyn R Hill, Margaret C Kline, Michael D Coble, et al.
International Journal of Legal Medicine|August 10, 2005
Characterization of mtDNA SNP typing and mixture ratio assessment with simultaneous real-time PCR quantification of both allelic statesHarald Niederstätter, Michael D Coble, Petra Grubwieser, et al.
Forensic Science International. Genetics|September 4, 2018
NIST interlaboratory studies involving DNA mixtures (MIX13): A modern analysisJohn S Buckleton, Jo-Anne Bright, Kevin Cheng, et al.
Bioinformatics Advances|April 20, 2026
Machine learning improves SNP microarray performance in challenged samplesAustin Chiao, Benjamin Crysup, Jonathan L King, et al.
Pageof 7

Showing results (21-30 of 66) with videos related to

Sort By:
Pageof 7
Forensic Science International. Genetics|May 12, 2010
mtGenome reference population databases and the future of forensic mtDNA analysisJodi A Irwin, Walther Parson, Michael D Coble, et al.
Forensic Science International. Genetics|May 12, 2010
Population study of fourteen X chromosomal short tandem repeat loci in a population from Bosnia and HerzegovinaToni M Diegoli, Lejla Kovacevic, Naris Pojskic, et al.
Croatian Medical Journal|May 30, 2009
Evaluation of modified Yfiler amplification strategy for compromised samplesKimberly A Sturk, Michael D Coble, Suzanne M Barritt, et al.
Forensic Science International. Genetics|December 10, 2013
Comparison of base composition analysis and Sanger sequencing of mitochondrial DNA for four U.S. population groupsKevin M Kiesler, Michael D Coble, Thomas A Hall, et al.
Forensic Science International. Genetics|September 5, 2017
Corrigendum to 'U.S. Population Data for 29 Autosomal STR Loci' [Forensic Sci. Int. Genet. 7 (2013) e82-e83]Carolyn R Steffen, Michael D Coble, Katherine B Gettings, et al.
Forensic Science International. Genetics|August 16, 2015
Uncertainty in the number of contributors in the proposed new CODIS setMichael D Coble, Jo-Anne Bright, John S Buckleton, et al.
Journal of Forensic Sciences|November 17, 2007
Characterization of 26 miniSTR loci for improved analysis of degraded DNA samplesCarolyn R Hill, Margaret C Kline, Michael D Coble, et al.
International Journal of Legal Medicine|August 10, 2005
Characterization of mtDNA SNP typing and mixture ratio assessment with simultaneous real-time PCR quantification of both allelic statesHarald Niederstätter, Michael D Coble, Petra Grubwieser, et al.
Forensic Science International. Genetics|September 4, 2018
NIST interlaboratory studies involving DNA mixtures (MIX13): A modern analysisJohn S Buckleton, Jo-Anne Bright, Kevin Cheng, et al.
Bioinformatics Advances|April 20, 2026
Machine learning improves SNP microarray performance in challenged samplesAustin Chiao, Benjamin Crysup, Jonathan L King, et al.
Pageof 7