Julien F. Ayroles

Ecology & Evolutionary Biology

Former affiliation

Lewis-Sigler Institute for Integrative Genomics

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Julien F. Ayroles is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

2 Active

Improved Methods for Inference of Genotype-Specific Response to Environmental Toxins
Ayroles, J. F.
NIH NIEHS
2/1/19 → 1/31/24
Project: Research project
A Path to Personalized Phenotypic Prediction: Unlocking the Context-Dependency of Allelic Effects
Ayroles, J. F.
NIH NIGMS
9/18/17 → 8/31/22
Project: Research project

3340 Citations
22 h-Index
26 Article
3 Review article

The Evolution of Variance Control
Bruijning, M., Metcalf, C. J. E., Jongejans, E. & Ayroles, J. F., Jan 2020, In: Trends in Ecology and Evolution. 35, 1, p. 22-33 12 p.
Research output: Contribution to journal › Review article › peer-review
6 Scopus citations
Tm39Seq: A tagmentation-mediated 39 sequencing approach for improving scalability of RNAseq experiments
Pallares, L. F., Picard, S. & Ayroles, J. F., Jan 1 2020, In: G3: Genes, Genomes, Genetics. 10, 1, p. 143-150 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Genetic and environmental perturbations lead to regulatory decoherence
Lea, A., Subramaniam, M., Ko, A., Lehtimäki, T., Raitoharju, E., Kähönen, M., Seppälä, I., Mononen, N., Raitakari, O. T., Ala-Korpela, M., Pajukanta, P., Zaitlen, N. & Ayroles, J. F., Mar 2019, In: eLife. 8, e40538.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Scopus citations
Statistical tests for detecting variance effects in quantitative trait studies
Dumitrascu, B., Darnell, G., Ayroles, J. F. & Engelhardt Martin, B., Jan 15 2019, In: Bioinformatics. 35, 2, p. 200-210 11 p.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. Sechellia
Schrider, D. R., Ayroles, J., Matute, D. R. & Kern, A. D., Apr 23 2018, In: PLoS genetics. 14, 4, e1007341.
Research output: Contribution to journal › Article › peer-review

Open Access
26 Scopus citations

Improved Methods for Inference of Genotype-Specific Response to Environmental Toxins

A Path to Personalized Phenotypic Prediction: Unlocking the Context-Dependency of Allelic Effects

The Evolution of Variance Control

Tm39Seq: A tagmentation-mediated 39 sequencing approach for improving scalability of RNAseq experiments

Genetic and environmental perturbations lead to regulatory decoherence

Statistical tests for detecting variance effects in quantitative trait studies

Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. Sechellia