User profiles for Koji Kyoda

Koji Kyoda

RIKEN Center for Biosystems Dynamics Research
Verified email at riken.jp
Cited by 341

[HTML][HTML] OME-Zarr: a cloud-optimized bioimaging file format with international community support

…, G Kovacs, A Küpcü Yoldaş, K Kyoda… - Histochemistry and Cell …, 2023 - Springer
A growing community is constructing a next-generation file format (NGFF) for bioimaging to
overcome problems of scalability and heterogeneity. Organized by the Open Microscopy …

SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena

Y Tohsato, KHL Ho, K Kyoda, S Onami - Bioinformatics, 2016 - academic.oup.com
Motivation: Rapid advances in live-cell imaging analysis and mathematical modeling have
produced a large amount of quantitative data on spatiotemporal dynamics of biological …

WDDD: worm developmental dynamics database

K Kyoda, E Adachi, E Masuda, Y Nagai… - Nucleic acids …, 2012 - academic.oup.com
During animal development, cells undergo dynamic changes in position and gene expression.
A collection of quantitative information about morphological dynamics under a wide …

A gene network inference method from continuous-value gene expression data of wild-type and mutants

KM Kyoda, S Onami, M Morohashi, H Kitano - Genome Informatics, 2000 - jstage.jst.go.jp
In this paper we introduce a new inference method of a gene regulatory network from steadystate
gene expression data. Our method determines a regulatory structure consistent with an …

PHi-C2: interpreting Hi-C data as the dynamic 3D genome state

S Shinkai, H Itoga, K Kyoda, S Onami - Bioinformatics, 2022 - academic.oup.com
High-throughput chromosome conformation capture (Hi-C) is a widely used assay for studying
the three-dimensional (3D) genome organization across the whole genome. Here, we …

Construction of a generalized simulator for multi-cellular organisms and its application to Smad signal transduction

KM KYODA, M MURAKI, H KITANO - Biocomputing 2000, 1999 - World Scientific
In this paper, we report development of a generalized simulation system based on ordinary
differential equations for multi-cellular organisms, and results of the analysis on a Smad …

DBRF–MEGN method: an algorithm for deducing minimum equivalent gene networks from large-scale gene expression profiles of gene deletion mutants

K Kyoda, K Baba, S Onami, H Kitano - Bioinformatics, 2004 - academic.oup.com
Motivation: Large-scale gene expression profiles measured in gene deletion mutants are
invaluable sources for identifying gene regulatory networks. Signed directed graph (SDG) is …

Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data

K Kyoda, Y Tohsato, KHL Ho, S Onami - Bioinformatics, 2015 - academic.oup.com
Motivation: Recent progress in live-cell imaging and modeling techniques has resulted in
generation of a large amount of quantitative data (from experimental measurements and …

SIMULATION OF GENETIC INTERACTION FOR DROSOPHILA LEG FORMATION

K Kyoda, H Kitano - Biocomputing'99, 1999 - World Scientific
The formation of Drosophila wings and legs are major research topics in Drosophila development,
and several hypotheses, such as the polar-coordinate model and the boundary model…

The DBRF method for inferring a gene network from large-scale steady-state gene expression data

S Onami, KM Kyoda, M Morohashi, H Kitano - 2001 - direct.mit.edu
Complete genome sequence has enabled whole-genome expression profiling and genome
deletion projects, which are generating large-scale gene expression profiles corresponding …