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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 College Station (Texas, US) where I am a postdoctoral research associate at Texas A&M 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

  • 2021-07 – current

    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 S o Paulo - ESALQ/USP

  • 2015-03 – 2017-01

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

  • 2009-02 – 2017-01

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

AWARDS

  • 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 - advanced

    100%
  • Git - advanced

    100%
  • Shiny - advanced

    100%
  • Unix|Linux - advanced

    100%
  • Latex - advanced

    100%
  • Bash - advanced

    100%
  • Workflow Description Language (WDL) - advanced

    100%
  • Docker - Intermediate

    66%
  • Emacs - Intermediate

    66%
  • Inkscape - Intermediate

    66%
  • HTML & CSS - Intermediate

    66%
  • Rcpp - Beginner

    33%
  • Python - Beginner

    33%

COMPUTATIONAL TOOLS

OneMap logo

2017 – Developing

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 – Developing

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 – Developing

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).

RECENT PUBLICATIONS

[All Publications]
  1. 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
  2. Meta-Analysis of Rose Rosette Disease-Resistant Quantitative Trait Loci and a Search for Candidate Genes
    Hochhaus, Tessa, Lau, Jeekin, Taniguti, Cristiane H., Young, Ellen L., Byrne, David H., and Riera-Lizarazu, Oscar
    Pathogens, vol. 12, Apr, 2023
  3. Developing best practices for genotyping-by-sequencing analysis in the construction of linkage maps
    Taniguti, Cristiane Hayumi, Taniguti, Lucas Mitsuo, Amadeu, Rodrigo Rampazo, Lau, Jeekin, Gesteira, Gabriel de Siqueira, Oliveira, Thiago de Paula, Ferreira, Getulio Caixeta, Pereira, Guilherme da Silva, Byrne, David, Mollinari, Marcelo, Riera-Lizarazu, Oscar, and Garcia, Antonio Augusto Franco
    GigaScience, vol. 12, pp. giad092, Oct, 2023