Research output per year
Research output per year
Personal profile
Research overview
Oscar Gaggiotti is a MASTS professor. His research focuses on the study of spatial patterns of genetic diversity to better understand the evolutionary and ecological processes responsible for their origin
and maintenance. To this end he develops ecologically realistic population genetics theory and methods using a framework based on the metapopulation paradigm and Bayesian statistics.
With his research group he has developed several statistical approaches that can simultaneously utilize the information provided by different types of data (genetic, demographic, environmental) and has applied them to two research problems:
- Statistical inference of the demographic history and ecology of populations,
- Study of local adaptation to understand the molecular bases of phenotypic variation.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Oscar Eduardo Gaggiotti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Collecting baleen whale blow samples by drone: a minimally intrusive tool for conservation genetics
O'Mahony, É., Sremba, A., Keen, E., Robinson, N., Dundas, A., Steele, D., Wray, J., Baker, C. S. & Gaggiotti, O. E., 4 Apr 2024, (E-pub ahead of print) In: Molecular Ecology Resources. Early ViewResearch output: Contribution to journal › Article › peer-review
Open AccessFile -
Competing adaptations maintain nonadaptive variation in a wild cricket population
Rayner, J. G., Eichenberger, F., Bainbridge, J. V. A., Zhang, S., Zhang, X., Yusuf, L. H., Balenger, S., Gaggiotti, O. E. & Bailey, N. W., 6 Aug 2024, In: Proceedings of the National Academy of Sciences of the United States of America. 121, 32, 9 p., e2317879121.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Ecological connectivity in Pacific deep-sea hydrothermal vent metacommunities
Fleming, B., Beaulieu, S., Mills, S., Gaggiotti, O. & Mullineaux, L., 13 Mar 2024, (E-pub ahead of print) In: Marine Ecology Progress Series. 731, p. 267-278 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters
Louis, M., Korlević, P., Nykänen, M., Archer, F., Berrow, S., Brownlow, A., Lorenzen, E. D., O’Brien, J., Post, K., Racimo, F., Rogan, E., Rosel, P. E., Sinding, M.-H. S., van der Es, H., Wales, N., Fontaine, M. C., Gaggiotti, O. E. & Foote, A. D., 18 Jul 2023, In: Nature Communications. 14, 13 p., 4020.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Deep learning in population genetics
Korfmann, K., Gaggiotti, O. E. & Fumagalli, M., 2 Feb 2023, In: Genome Biology and Evolution. 15, 2, 20 p., evad008.Research output: Contribution to journal › Review article › peer-review
Open AccessFile
Datasets
-
Identifying consistent allele frequency differences in studies of stratified populations (dataset - GitHub)
Wiberg, R. A. W. (Creator), Gaggiotti, O. E. (Creator), Morrissey, M. B. (Creator) & Ritchie, M. G. (Creator), GitHub, 2017
https://github.com/RAWWiberg/ER_PoolSeq_Simulations
Dataset
-
C++ code from "Estimating contemporary migration rates: effect and joint inference of inbreeding, null alleles and mistyping"
Robledo-Arnuncio (Juan J Robledo-Arnuncio), J. J. (Creator) & Gaggiotti, O. E. (Creator), Figshare, 15 Nov 2016
DOI: 10.6084/m9.figshare.3984000.v3
Dataset: Software
-
Replication Data for the manuscript Selection on ancient genetic variants fuels repeated ecotype formation in bottlenose dolphins
Louis, M. (Creator), Galimberti, M. (Creator), Archer, F. (Creator), Berrow, S. (Creator), Brownlow, A. (Creator), Fallon, R. (Creator), Nykänen, M. (Creator), O'Brien, J. (Creator), Robertson, K. (Creator), Rosel, P. E. (Creator), Simon-Bouhet, B. (Creator), Wegmann, D. (Creator), Fontaine, M. (Creator), Foote, A. (Creator) & Gaggiotti, O. E. (Creator), Dataverse, 2021
DOI: 10.23708/Q2MYHE
Dataset
-
Accounting for stochasticity in demographic compensation along the elevational range of an alpine plant (dataset)
Andrello, M. (Creator), de Villemereuil, P. (Creator), Carboni, M. (Creator), Busson, D. (Creator), Fortin, M.-J. (Creator), Gaggiotti, O. E. (Creator) & Till-Bottraud, I. (Creator), GitHub, 2020
https://github.com/MarcoAndrello/Stoch_Demogr_Comp_Arabis
Dataset
-
Deciphering signatures of natural selection via deep learning (code)
Gaggiotti, O. E. (Creator), GitHub, 2022
https://github.com/xinghuq/DeepGenomeScan
Dataset: Software
Projects
- 1 Finished
-
Behaviour-Connect: H2020 Marie Curie IEF
Gaggiotti, O. E. (PI) & Carroll, E. L. (CoI)
1/02/16 → 31/01/18
Project: Fellowship
Activities
-
Deep Learning in Population Genetics
Gaggiotti, O. E. (Speaker)
3 Jul 2023Activity: Talk or presentation types › Invited talk
-
Member of the examination panel for Habilitation to conduct research in France (HDR)
Gaggiotti, O. E. (External examiner)
19 Jun 2023Activity: Examination types › External examination
-
Deep Learning in Population Genetics
Gaggiotti, O. E. (Speaker)
19 Jun 2023Activity: Talk or presentation types › Invited talk
-
Using Information theory and machine learning to advance eco-evolutionary research
Gaggiotti, O. E. (Speaker)
17 Jan 2023Activity: Talk or presentation types › Invited talk
-
Deep Learning in Population Genetics
Gaggiotti, O. E. (Speaker)
6 Jan 2023Activity: Talk or presentation types › Invited talk