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Cris Taniguti (she/her)

Hello! Welcome to my personal webpage! Here, I present my blog and an overview of my professional profile. I am a Ph.D. in Genetics in Plant Breeding. My research has focused on statistical genetics, computational biology, and polyploid species. I am from Brazil, but I currently live in Ithaca (NY - US) where I am the Genomics Coordinator at Breeding Insight - Cornell University. Outside of work, I love art performances and I have already performed aerial silk and other circus activities on streets, in theaters, and in open TV events.

EXPERIENCE

  • 2024-06 – current

    Genomics Coordinator, Cornell Universiry - Breeding Insight

  • 2021-07 – 2024-6

    Postdoctoral Research Associate, Texas A&M University - Department of Horticultural Sciences

  • 2014-01 – 2014-07

    Intern, Sugarcane Technology Center (CTC)

  • 2012-04 – 2012-07

    Summer student, McGill University (McGill)

  • 2009-07 – 2010-02

    Technical training, Accert! Chemistry and Biotechnology

Education

  • 2017-03 – 2021-04

    Ph.D in Genetics and Plant Breeding, University of Sao Paulo - ESALQ/USP

  • 2015-03 – 2017-01

    Master Degree in Genetics and Plant Breeding, University of Sao Paulo - ESALQ/USP

  • 2009-02 – 2017-01

    Bachelor s Degree in Genetics and Plant Breeding, Federal University of Sao Carlos - UFSCar

AWARDS

  • USDA Secretary Honor Award 2024 - In a ceremony held on January 10, 2025, in Washington D.C., the U.S. Department of Agriculture (USDA) awarded Breeding Insight (BI) and BI OnRamp the prestigious Agricultural Secretary Honor Award in the category of “Providing all Americans safe, nutritious food”
  • Postdoctoral Scholar Travel Award 2023 - Texas A&M University
  • Market Ready Prize - Cornell Institute Digital Agriculture Hackathon 2021
  • WikiProject Computational Biology/ISCB award 2018 - International Society for Computational Biology (ISCB) and WikiProject Computational Biology
  • Best Poster Award - Brazilian Association for Bioinformatics and Computational Biology


RESEARCH INTERESTS

  • Statistical Genetics
  • Computational biology
  • High-throughput sequencing
  • Haplotyping
  • Phenotype and genotype association studies (QTL, GWAS, GS)
  • Data visualization
  • Polyploid species

SKILLS

  • R - expert

    100%

  • Shiny - expert

    100%

  • Git - advanced

    75%

  • Unix|Linux - advanced

    75%

  • Latex - advanced

    75%

  • Bash - advanced

    75%

  • Docker - advanced

    75%

  • Workflow Description Language (WDL) - advanced

    75%

  • Nextflow - intermediate

    50%

  • Emacs - intermediate

    50%

  • Inkscape - intermediate

    50%

  • HTML & CSS - intermediate

    50%

  • Rcpp - intermediate

    50%

  • Python - intermediate

    50%

COMPUTATIONAL TOOLS

OneMap logo

2017 – Maintaining

OneMap
Analysis of molecular marker data from model (backcrosses, F2 and recombinant inbred lines) and non-model systems (i. e. outcrossing species)
VIEWpoly logo

2022 – Maintaining

VIEWpoly
Provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species.
Reads2Map WF

2019 – Maintaining

Reads2Map
The pipelines are written with Workflow Description Language (WDL) and perform sequence quality control, alignment (BWA), SNP calling (GATK, freebayes, TASSEL, and Stacks), dosage calling (updog, SuperMASSA and polyRAD), and build linkage maps and haplotypes (OneMap and MAPpoly).
Qploidy logo

2024 – Developing

Qploidy
Analysis of molecular marker data from Array and Target Sequencing technologies to determine ploidy and aneuploidy.

RECENT PUBLICATIONS

[All Publications]
  1. Exploring chromosomal variations in garden roses: Insights from high‐density SNP array data and a new tool, Qploidy
    Taniguti, Cristiane H., Lau, Jeekin, Hochhaus, Tessa, Arias, Diana C. Lopez, Hokanson, Stan C., Zlesak, David C., Byrne, David H., Klein, Patricia E., and Riera‐Lizarazu, Oscar
    The Plant Genome, vol. 18, Jun, 2025
  2. BIGapp: A user‐friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa ( Medicago sativa L.)
    Sandercock, Alexander M., Peel, Michael D., Taniguti, Cristiane H., Chinchilla‐Vargas, Josué, Chen, Shufen, Sapkota, Manoj, Lin, Meng, Zhao, Dongyan, Ackerman, Arlyn J., Basnet, Bhoja R., Beil, Craig T., and Sheehan, Moira J.
    The Plant Genome, vol. 18, Sep, 2025
  3. QTL discovery for resistance to black spot and cercospora leaf spot, and defoliation in two interconnected F1 bi-parental tetraploid garden rose populations
    Lau, Jeekin, Gill, Haramrit, Taniguti, Cristiane H., Young, Ellen L., Klein, Patricia E., Byrne, David H., and Riera-Lizarazu, Oscar
    Frontiers in Plant Science, vol. 14, 2023