About this Biochemistry, Genetics and Molecular Biology article

Graph Algorithms for Mixture Interpretation by Crysup, Benjamin (author);Woerner, August E. (author);King, Jonathan L. (author);Budowle, Bruce (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

The scale of genetic methods are presently being expanded: forensic genetic assays previously were limited to tens of loci, but now technologies allow for a transition to forensic genomic approaches that assess thousands to millions of loci. However, there are subtle distinctions between genetic assays and their genomic counterparts (especially in the context of forensics). For instance, forensic genetic approaches tend to describe a locus as a haplotype, be it a microhaplotype or a short tandem repeat with its accompanying flanking information. In contrast, genomic assays tend to provide not haplotypes but sequence variants or differences, variants which in turn describe how the alleles apparently differ from the reference sequence. By the given construction, mitochondrial genetic assays can be thought of as genomic as they often describe genetic differences in a similar way. The mitochondrial genetics literature makes clear that sequence differences, unlike the haplotypes they encode, are not comparable to each other. Different alignment algorithms and different variant calling conventions may cause the same haplotype to be encoded in multiple ways. This ambiguity can affect evid

Author

Crysup, Benjamin (author);Woerner, August E. (author);King, Jonathan L. (author);Budowle, Bruce (author)

Publisher

MDPI AG

Published

2021

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)