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Andrew Whalen

Researcher Next ID · RN-031745

Researcher · Biochemistry, Genetics and Molecular Biology

Tufts Medical Center

Boston, United Kingdom

Accepting doctoral researchersFunding unknown
Works count
1,468
Citation count
1,165
H-index
19
i10-index
27

Research interests

Biochemistry, Genetics and Molecular Biology
Physics and Astronomy
Molecular Biology Techniques and Applications
Nuclear Physics and Applications
X-ray Spectroscopy and Fluorescence Analysis
Genetic Mapping and Diversity in Plants and Animals
Gene expression and cancer classification

Publications

  • The structure of executive functions in preschool children and chimpanzees

    Scientific Reports · 2022 · 10.1038/s41598-022-08406-7

  • Social integration predicts survival in female white-faced capuchin monkeys

    Behavioral Ecology · 2022 · 10.1093/beheco/arac043

  • Genomic prediction with whole-genome sequence data in intensely selected pig lines

    Genetics Selection Evolution · 2022 · 10.1186/s12711-022-00756-0

  • A genome-wide association analysis for body weight at 35 days measured on 137,343 broiler chickens

    Genetics Selection Evolution · 2021 · 10.1186/s12711-021-00663-w

  • Genetic variation in recombination rate in the pig

    Genetics Selection Evolution · 2021 · 10.1186/s12711-021-00643-0

  • AlphaFamImpute: high-accuracy imputation in full-sib families from genotype-by-sequencing data

    Bioinformatics · 2020 · 10.1093/bioinformatics/btaa499

  • Evaluation of sequencing strategies for whole-genome imputation with hybrid peeling

    Genetics Selection Evolution · 2020 · 10.1186/s12711-020-00537-7

  • AlphaImpute2: Fast and accurate pedigree and population based imputation for hundreds of thousands of individuals in livestock populations

    bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 10.1101/2020.09.16.299677

  • Accuracy of whole-genome sequence imputation using hybrid peeling in large pedigreed livestock populations

    Genetics Selection Evolution · 2020 · 10.1186/s12711-020-00536-8

  • Social learning strategies regulate the wisdom and madness of interactive crowds

    Nature Human Behaviour · 2019 · 10.1038/s41562-018-0518-x

  • Social learning strategies regulate the wisdom and madness of interactive crowds

    bioRxiv (Cold Spring Harbor Laboratory) · 2018 · 10.1101/326637

  • Parentage assignment with genotyping‐by‐sequencing data

    Journal of Animal Breeding and Genetics · 2018 · 10.1111/jbg.12370

  • Hybrid peeling for fast and accurate calling, phasing, and imputation with sequence data of any coverage in pedigrees

    Genetics Selection Evolution · 2018 · 10.1186/s12711-018-0438-2

  • Assessment of the performance of hidden Markov models for imputation in animal breeding

    Genetics Selection Evolution · 2018 · 10.1186/s12711-018-0416-8

  • Sensitivity to Shared Information in Social Learning

    Cognitive Science · 2017 · 10.1111/cogs.12485

  • Fish pool their experience to solve problems collectively

    Nature Ecology & Evolution · 2017 · 10.1038/s41559-017-0135

  • The coevolution of innovation and technical intelligence in primates

    Philosophical Transactions of the Royal Society B Biological Sciences · 2016 · 10.1098/rstb.2015.0186

  • Conformity biased transmission in social networks

    Journal of Theoretical Biology · 2015 · 10.1016/j.jtbi.2015.06.028

  • The learning of action sequences through social transmission

    Animal Cognition · 2015 · 10.1007/s10071-015-0877-x

Current projects

    No projects listed.