Dear Colleagues,
We are organizing a symposium on "Networks in Population Genetics
and Phylogenetics: Theory, Methods, and Applications" at the 3rd
Joint Congress on Evolutionary Biology
(July 26-30, 2024, Montr�al, Canada) and would like to encourage
you to submit an abstract to this symposium.
The symposium will focus on evolutionary networks such as ancestral
recombination graphs, admixture graphs, and phylogenetic networks.
It will feature the latest theoretical and methodological advances
in robustly inferring networks as well as showcase novel applications.
We strongly encourage submissions from both method developers and
empiricists.
Registration for the conference has just opened. When submitting
an abstract, you will have the option to select 1st and 2nd choice
symposia to speak in. Please consider submitting your abstract to
our symposium.
Please forward this information to any trainees, collaborators,
etc. who are interested in speaking in the symposium. We hope to
see you at the conference this summer!
Best wishes,
C�cile An� (cecile.ane@wisc.edu), Puneeth Deraje
(puneeth.deraje@mail.utoronto.ca), John Rhodes (jarhodes2@alaska.edu),
and Kristina Wicke (kristina.wicke@njit.edu)
Symposium abstract: Historical reticulation events, including
recombination, gene flow and hybridization, leave signals in the
variation among genomic sequences. Networks, such as ancestral
recombination graphs, admixture graphs, and phylogenetic networks,
depict these reticulations, showing genealogical relationships
between individuals, populations, and species. Genome -wide sequencing
and new methodologies now allow for the disentangling of different
biological processes at play and the inference of such networks
from shallow to deep time scales. This symposium will be a hub for
the latest theoretical and methodological advances in robustly
inferring networks, as well as a showcase for novel applications.
The symposium will highlight advances across network fields and
facilitate further crosstalk between them, building on the common
mathematical structures they share while acknowledging important
biological differences.
Kristina Wicke
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