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Shu Tadaka

Researcher at Tohoku University

Publications -  39
Citations -  1470

Shu Tadaka is an academic researcher from Tohoku University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 12, co-authored 34 publications receiving 1006 citations.

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ATTED-II in 2018: A Plant Coexpression Database Based on Investigation of the Statistical Property of the Mutual Rank Index

TL;DR: The latest coexpression data for Arabidopsis showed the highest reproducibility and the statistical basis of the mutual rank (MR) index as a coexpression measure was investigated by bootstrap sampling of experimental units, finding that the error distribution of the logit-transformed MR index showed normality with equal variances for each coexpression platform.
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ATTED-II in 2016: A Plant Coexpression Database Towards Lineage-Specific Coexpression

TL;DR: Monocot- and dicot-specific coexpression of cell wall genes are demonstrated in ATTED-II, a coexpression database for plant species with parallel views of multiple coexpression data sets and network analysis tools that provides new opportunities to investigate lineage-specific evolution in plants.
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COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems

TL;DR: The COXPRESdb as mentioned in this paper database provides gene coexpression relationships for animal species, including RNAseq-based gene co-expression data for three species (human, mouse and fly), and largely increased the number of microarray experiments to nine species.
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COXPRESdb v7: a gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference.

TL;DR: Using various functionalities in COXPRESdb, the new coexpression data would support a broader area of research from molecular biology to medical sciences, including 23 coexpression platforms with the highest-level quality till date.
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ATTED-II in 2014: evaluation of gene coexpression in agriculturally important plants.

TL;DR: An updated version of ATTED-II is described, which expands this resource to include additional agriculturally important plants and includes more gene expression data from microarray and RNA sequencing studies.