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Full-Text Articles in Biological and Physical Anthropology
Comparison Of Two Ancient Dna Extraction Protocols For Skeletal Remains From Tropical Environments, Maria A. Nieves-Colon, Andrew T. Ozga, William J. Pestle, Andrea Cucina, Vera Tiesler, Travis W. Stanton, Anne C. Stone
Comparison Of Two Ancient Dna Extraction Protocols For Skeletal Remains From Tropical Environments, Maria A. Nieves-Colon, Andrew T. Ozga, William J. Pestle, Andrea Cucina, Vera Tiesler, Travis W. Stanton, Anne C. Stone
Biology Faculty Articles
Objectives
The tropics harbor a large part of the world's biodiversity and have a long history of human habitation. However, paleogenomics research in these climates has been constrained so far by poor ancient DNA yields. Here we compare the performance of two DNA extraction methods on ancient samples of teeth and petrous portions excavated from tropical and semi‐tropical sites in Tanzania, Mexico, and Puerto Rico (N = 12).
Materials and Methods
All samples were extracted twice, built into double‐stranded sequencing libraries, and shotgun sequenced on the Illumina HiSeq 2500. The first extraction protocol, Method D, was previously designed for …
Using Machine Learning To Classify Extant Apes And Interpret The Dental Morphology Of The Chimpanzee-Human Last Common Ancestor, Tesla A. Monson, David W. Armitage, Leslea J. Hlusko
Using Machine Learning To Classify Extant Apes And Interpret The Dental Morphology Of The Chimpanzee-Human Last Common Ancestor, Tesla A. Monson, David W. Armitage, Leslea J. Hlusko
Anthropology Faculty and Staff Publications
Machine learning is a formidable tool for pattern recognition in large datasets. We developed and expanded on these methods, applying machine learning pattern recognition to a problem in paleoanthropology and evolution. For decades, paleontologists have used the chimpanzee as a model for the chimpanzee-human last common ancestor (LCA) because they are our closest living primate relative. Using a large sample of extant and extinct primates, we tested the hypothesis that machine learning methods can accurately classify extant apes based on dental data. We then used this classification tool to observe the affinities between extant apes and Miocene hominoids. We assessed …