Koichiro Tamura

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MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Koichiro Tamura, Glen Stecher, Daniel Peterson, 2013, Molecular biology and evolution.

Verification of image recognition AI system for rebar arrangement inspection

Shintaro Arai, Koichiro Tamura, Takumi Kakiichi, 2020 .

MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers

Sudhir Kumar, Masatoshi Nei, Koichiro Tamura, 1994, Comput. Appl. Biosci..

New processor interconnection strategies for a large multi-processor system

Yoshikuni Okada, Koichiro Tamura, Shinji Umeyama, 1982 .

General remarks on the achievements of the national R&D program 'high speed computing system for scientific and technological uses'

Koichiro Tamura, 1992 .

Single column discrepancy and dynamic max-mini optimizations for quickly finding the most parsimonious evolutionary trees

Paul Walton Purdom, Phillip G. Bradford, Sudhir Kumar, 2000, Bioinform..

A parallel execution model of logic programs

Koichiro Tamura, Shinji Umeyama, S. Umeyama, 1983, ISCA '83.

Self-splicing group I introns in eukaryotic viruses

Takashi Yamada, Koichiro Tamura, Tadanori Aimi, 1994, Nucleic Acids Res..

Model for Evaluation of Stock Values by Ensemble Model Using Deep Learning

Yutaka Matsuo, Koichiro Tamura, Shuhei Iitsuka, 2018 .

MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences

Joel Dudley, Sudhir Kumar, Masatoshi Nei, 2008, Briefings Bioinform..

MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment

Sudhir Kumar, Masatoshi Nei, Koichiro Tamura, 2004, Briefings Bioinform..

Semi-automated quantitative Drosophila wings measurements

Hwee Kuan Lee, Yoshitaka Ogawa, Koichiro Tamura, 2017, BMC Bioinformatics.

Modeling and Analysis of Effects on Financial Markets from Influence Relationships in Social Media.

Koichiro Tamura, Yutaka Matsuo, Y. Matsuo, 2020, Transactions of the Japanese Society for Artificial Intelligence.

A new method for inferring timetrees from temporally sampled molecular sequences

Sudhir Kumar, Koichiro Tamura, Sergei L Kosakovsky Pond, 2020, PLoS computational biology.

MEGA2: molecular evolutionary genetics analysis software

Sudhir Kumar, Masatoshi Nei, Koichiro Tamura, 2001, Bioinform..

MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis

Sudhir Kumar, Koichiro Tamura, Glen Stecher, 2012, Bioinform..

POPTREEW: web version of POPTREE for constructing population trees from allele frequency data and computing some other quantities.

Masatoshi Nei, Koichiro Tamura, Naoko Takezaki, 2014, Molecular biology and evolution.

WWC and the Hyper Information Age

Koichiro Tamura, 1998, WWCA.

MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation

Li Liu, Sudhir Kumar, Koichiro Tamura, 2014, Bioinform..

Logic and Function

Koichiro Tamura, Shigeo Oyagi, 1982 .

A new method for inferring timetrees from temporally sampled molecular sequences

Sudhir Kumar, Sayaka Miura, Louise A. Huuki, 2019, bioRxiv.

Research Results of the Project "high Speed Computing System for Scientific and Technological Uses"

Koichiro Tamura, 1991, Int. J. High Speed Comput..

Extensive Differences in Antifungal Immune Response in Two Drosophila Species Revealed by Comparative Transcriptome Analysis

Koichiro Tamura, Yosuke Seto, K. Tamura, 2013, International journal of genomics.

Theoretical Foundation of the RelTime Method for Estimating Divergence Times from Variable Evolutionary Rates

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2017, bioRxiv.

A new method for detecting autocorrelation of evolutionary rates in large phylogenies

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2018, bioRxiv.

A Machine Learning Method for Detecting Autocorrelation of Evolutionary Rates in Large Phylogenies

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2019, Molecular biology and evolution.

Evolutionary Genetics Analysis Version 6 . 0

Koichiro Tamura, Glen Stecher, Daniel Peterson, 2013 .

Estimating divergence times in large molecular phylogenies

Koichiro Tamura, Alan Filipski, Sudhir Kumar, 2012, Proceedings of the National Academy of Sciences.

Fast and Accurate Estimates of Divergence Times from Big Data

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2017, Molecular biology and evolution.

Phylogenetic placement of metagenomic reads using the minimum evolution principle

Koichiro Tamura, Alan Filipski, Sudhir Kumar, 2015, BMC Genomics.

Reliable Confidence Intervals for RelTime Estimates of Evolutionary Divergence Times

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2019, Molecular biology and evolution.

Reliable Confidence Intervals for RelTime Estimates of Evolutionary Divergence Times

Koichiro Tamura, Qiqing Tao, Sudhir Kumar, 2019, bioRxiv.