Contact

• emi.tanaka@monash.edu
• github.com/emitanaka
• @statsgen
• For more information, please contact me via email.

Skills

• Expert: R, HTML/CSS, LaTeX
• Intermediate: Git/GitHub, Python, Bash, JS
• Languages: English (fluent) and Japanese (conversational)

Interests

• Research: experimental design, mixed models, data visualisation, bioinformatics, statistical genetics, selective breeding
• Non-Research: drawing (but not good at it), reading (manga, manhwa and non-fiction books)

Emi Tanaka

1. Morota, G, Cheng, H, Cook, D, & Tanaka, E (2021) ASAS-NANP SYMPOSIUM: Prospects for interactive and dynamic graphics in the era of data-rich animal science. Journal of animal science, 99(2). Citations: 1.
2. Tanaka, E (2020) Simple outlier detection for a multi-environmental field trial. Biometrics, 76(4), 1374-1382. Citations: 4.
3. Tanaka, E & Hui, F (2019) Symbolic formulae for linear mixed models. Statistics and data science, 3-21
4. Hui, F, Tanaka, E, & Warton, D (2018) Order selection and sparsity in latent variable models via the ordered factor LASSO. Biometrics, 74(4), 1311-1319. Citations: 6.
5. Norman, A, Taylor, J, Tanaka, E, Telfer, P, Edwards, J, Martinant, J, & Kuchel, H (2017) Increased genomic prediction accuracy in wheat breeding using a large australian panel. Theoretical and applied genetics, 130(12), 2543-2555. Citations: 16.
6. Tanaka, E, Ral, J, Li, S, Gaire, R, Cavanagh, C, Cullis, B, & Whan, A (2017) Increased accuracy of starch granule type quantification using mixture distributions. Plant methods, 13, 107. Citations: 5.
7. Tanaka, E (2014) Statistical methods for improving motif evaluation. PhD Thesis
8. Tanaka, E, Bailey, T, & Keich, U (2014) Improving MEME via a two-tiered significance analysis. Bioinformatics, 30(14), 1965-1973. Citations: 17.
9. Liachko, I, Tanaka, E, Cox, K, Chung, S, Yang, L, Seher, A, Hallas, L, Cha, E, Kang, G, Pace, H, Barrow, J, Inada, M, Tye, B, & Keich, U (2011) Novel features of ARS selection in budding yeast lachancea kluyveri. BMC genomics, 12, 633. Citations: 22.
10. Tanaka, E, Bailey, T, Grant, C, Noble, W, & Keich, U (2011) Improved similarity scores for comparing motifs. Bioinformatics, 27(12), 1603-1609. Citations: 49.

• edibble

  An R-package that implements the grammar of experimental design.
  Creator and maintainer. GitHub stars: 123
  Source: https://github.com/emitanaka/edibble
  Documentation: https://edibble.emitanaka.org

• anicon

  An R-package to insert animated icons for R markdown and Shiny apps.
  Creator. GitHub stars: 109
  Source: https://github.com/emitanaka/anicon
  

• nestr

  An R-package to build hierarchical or nested sturctures.
  Creator and maintainer. GitHub stars: 11
  Source: https://github.com/emitanaka/nestr
  Documentation: https://nestr.emitanaka.org

• monash

  A utility R-package with consolidated tools and templates for staffs at Monash University.
  Creator and maintainer. GitHub stars: 3
  Source: https://github.com/numbats/monash
  

• xaringan

  An R package for creating slideshows with remark.js through R Markdown.
  Contributor. My contribution is the adaptation of the ninja-theme shown in the Documentation. GitHub stars: 1144
  Source: https://github.com/yihui/xaringan
  Documentation: https://github.com/emitanaka/ninja-theme

• gghdr

  Plots of highest density regions (HDR) for ggplot2.
  Listed as author but my contribution is small. GitHub stars: 34
  Source: https://github.com/ropenscilabs/gghdr
  Documentation: https://ropenscilabs.github.io/gghdr

• shinycustomloader

  Add a custom loader for R shiny.
  Creator. GitHub stars: 98
  Source: https://github.com/emitanaka/shinycustomloader
  

• datalegreyar

  Datalegreya, the typeface that melts text and data visualisation, for R markdown.
  Creator. GitHub stars: 38
  Source: https://github.com/emitanaka/datalegreyar
  

• Tomtom

  A motif comparison tool part of the MEME Suite.
  The -incomplete-scores is an implementation as a result of Tanaka et al. (2011).
  

  Documentation: https://meme-suite.org/meme/doc/tomtom.html