TY - JOUR
T1 - Population Genomics Training for the Next Generation of Conservation Geneticists
T2 - ConGen 2018 Workshop
AU - Stahlke, Amanda
AU - Bell, Donavan
AU - Dhendup, Tashi
AU - Kern, Brooke
AU - Pannoni, Samuel
AU - Robinson, Zachary
AU - Strait, Jeffrey
AU - Smith, Seth
AU - Hand, Brian K.
AU - Hohenlohe, Paul A.
AU - Luikart, Gordon
N1 - Publisher Copyright:
© 2020 The American Genetic Association 2020.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled "ConGen 2018"was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.
AB - The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled "ConGen 2018"was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.
KW - adaptive capacity
KW - conservation genetics pedagogy
KW - effective population size
KW - evolutionary significant units
KW - population genomic data analysis
UR - http://www.scopus.com/inward/record.url?scp=85090816356&partnerID=8YFLogxK
U2 - 10.1093/jhered/esaa001
DO - 10.1093/jhered/esaa001
M3 - Article
C2 - 32037446
AN - SCOPUS:85090816356
SN - 0022-1503
VL - 111
SP - 227
EP - 236
JO - Journal of Heredity
JF - Journal of Heredity
IS - 2
ER -