~/gbrach
Gauthier Brach

Gauthier Brach

Quantitative genetics – Bioinformatics
HaploTeam, University of Strasbourg

email github scholar orcid

Research

Natural genetic variation -> RNA and protein levels, in yeast.

600+ isolates4 environments3,000+ samples

Skills

Background

Publications

  1. [7]
    Brach G, Schacherer J (2026). From one genome to thousands, and beyond. FEMS Yeast Research. 10.1093/femsyr/foag038
    Figure 1 from Brach and Schacherer (2026): timeline of major resources in yeast genomics
  2. [6]
    Dutta A, Garin M, Loegler V, Brach G, Friedrich A, Yoshimura M, Hirano H, Osada H, Boone C, Yashiroda Y, Hou J, Schacherer J (2026). Population-scale chemical response revealed by a barcoded yeast collection. Nature Communications. 10.1038/s41467-026-73532-z
    Figure 1: Barcoding strategy and genetic diversity of the yeast strain collection
  3. [5]
    Becerra-Rodríguez C, Thiele P, Brach G, Dutta A, Garin M, Tan G, Loegler V, Friedrich A, Andrews B, Boone C, Schacherer J, Hou J (2026). Domestication drives repeated evolution of sexual–asexual life cycle trade-offs in yeast. PNAS. 10.1073/pnas.2526682123
    Figure 3 from Becerra-Rodríguez et al. (2026)
  4. [4]
    Loegler V, Thiele P, Teyssonnière E, Tsouris A, Brach G, Cruaud C, Payen E, Engelen S, Dunham MJ, Hou J, Friedrich A, Schacherer J (2025). From genotype to phenotype with 1,086 near telomere-to-Telomere yeast genomes. Nature. 10.1038/s41586-025-09637-0
    Figure 1 from Loegler et al. (2025)
  5. [3]
    Dutta A, Dutreux F, Garin M, Caradec C, Friedrich A, Brach G, Thiele P, Gaudin M, Llorente B, Schacherer J (2024). Multiple independent losses of crossover interference during yeast evolutionary history. PLOS Genetics. 10.1371/journal.pgen.1011426
    Figure from Dutta et al. (2024)
  6. [2]
    Tsouris A†, Brach G†, Friedrich A, Hou J, Schacherer J (2024). Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast. Molecular Systems Biology. † co-first authors 10.1038/s44320-024-00021-0
    Figure 1 from Tsouris and Brach et al. (2024)
  7. [1]
    Tsouris A, Brach G, Schacherer J, Hou J (2024). Non-additive genetic components contribute significantly to population-wide gene expression variation. Cell Genomics. 10.1016/j.xgen.2023.100459
    Graphical abstract from Tsouris et al. (2024)

Software

FaST-ER-LMM public
FaST-LMM rewritten for GPUs. Genome-wide association scans run about 1,000× faster with the same results. PythonPyTorchGWAS
NovaSim lab internal
Simulates nanopore reads, with errors learned from real PromethION data. About 900× faster than Badread. RustNanopore
VEGA lab internal
Measures yeast colonies from photos of 384- and 1536-spot agar plates. Finds 99.9% of colonies, against 95.4% for Gitter. PythonOpenCV
HaploTeam Website public
The lab's website. Members edit plain text files; GitHub builds and publishes the site. JekyllGitHub Actions

Read the paper ↗