Producing new insights into the evolution and development of human populations around the globe is no easy task, but scientists can draw on multiple sources of data to do it. In a new study, Sohini Ramachandran and colleagues at Stanford University and University of Manitoba analyzed troves of data on genetics and distinct sounds in language — phonemes — to discern important patterns.
Data Science Institute
Center for Computational Molecular Biology
Date
February 2, 2015
Probing the Deep History of Human Genes and Language
Brown University evolutionary biologist Sohini Ramachandran has joined with colleagues in publishing a sweeping analysis of genetic and linguistic patterns across the world’s populations. Among the findings is that geographic distance predicts differentiation in both language and genes.