Koji Ishiya

J-GLOBAL         Last updated: Sep 11, 2019 at 11:05
 

Research Areas

 
 

Published Papers

 
Outlier detection for minor compositional variations in taxonomic abundance data
Koji Ishiya and Sachiyo Aburatani
Applied Sciences   9(7) 1355   Mar 2019   [Refereed]
Genome sequence of Rhodococcus erythropolis type strain, JCM 3201
Keitaro Yoshida, Wataru Kitagawa, Koji Ishiya, Yasuo Mitania, Nobutaka Nakashima, Sachiyo Aburatani and Tomohiro Tamura
Microbiology Resource Announcements   8 e01730-18   Apr 2019   [Refereed]
MitoIMP: A computational framework for imputation of missing data in low-coverage human mitochondrial genome
Koji Ishiya, Fuzuki Mizuno, Li Wang, and Shintaroh Ueda
Bioinformatics and Biology Insights   13 1-9   Sep 2019   [Refereed]
Koji Ishiya, Shintaroh Ueda
Peerj   5    May 2017   [Refereed]

Conference Activities & Talks

 
Detection of phylogenetically-informative SNPs in human Y-chromosome from next-generation sequencing data
Koji Ishiya
The 2019 Congress of the European Society for Evolutionary Biology   Aug 2019   
Robust age prediction model based on massive methylation data among multi-tissue
Koji Ishiya, Sachiyo Aburatani
19th International Conference on Systems Biology   Oct 2018   
An introduction to paleogenomics: Challenges in poorly preserved fossil remains
Koji Ishiya
Chile-Japan Academic Forum 2016   Nov 2016   
Inference of contaminated haplogroup in high-throughput sequencing data
石谷孔司, 植田信太郎
第39回日本分子生物学会年会   Oct 2016   
HuMAP: A comprehensive tool for accessing NGS data on human mitogenome
Koji Ishiya, Shintaroh Ueda
The 11th International Workshop on Advanced Genomics   May 2015   
Evaluating modern-day human contamination based on mitogenomic data
Koji Ishiya
HTSA2014:Practical Course on High-Throughput Sequencing Data Analysis   Oct 2014   
A Bioinformatics Strategy for Separating Ancient DNA from Modern DNA Contamination
Koji Ishiya, Shintaroh Ueda
The 12th KCJ Bioinformatics Training Course and Symposium   Jun 2014   

Works

 
Koji Ishiya   Software   Apr 2019
A computational framework for imputation of missing data in low-coverage human mitochondrial genome
Koji Ishiya   Software   May 2017
MitoSuite is a user-friendly graphical tool for analysis of data from high-throughput sequencing of the human mitochondrial genome.