Yamada Kazunori 山田和範

Researcher Number	20756217
Other IDs
Affiliation (Current)	2025: 東北大学, 未踏スケールデータアナリティクスセンター, 教授
Affiliation (based on the past Project Information) *help	2018 – 2020: 東北大学, 情報科学研究科, 准教授 2016 – 2017: 東北大学, 情報科学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 62010:Life, health and medical informatics-related Except Principal Investigator Evolutionary biology
Keywords	Principal Investigator 機械学習 / 配列アライメント / 生物学的配列 / 配列類似性検索 / 文字列 / 生物学的文字列 / 配列解析 / 人工知能 Except Principal Investigator 相同性検索 / 立体構造 … More / SARS-CoV-2 / FFT / ロングリードシーケンサー / 巨大アラインメント / タンパク質立体構造 / ウイルスゲノム / 塩基配列 / タンパク質 / 配列解析 / 計算プログラム / 多重配列アラインメント Less

Artificial intelligence for sequence similarity searchPrincipal Investigator
- Principal Investigator
  
  Yamada Kazunori
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Tohoku University
Extension of MAFFT multiple sequence alignment program mainly for large data
- Principal Investigator
  
  Katoh Kazutaka
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Evolutionary biology
- Research Institution
  Osaka University

All 2021 2018 2017 2016

All Journal Article

[Journal Article] Developing a Novel Recurrent Neural Network Architecture with Fewer Parameters and Good Learning Performance2021
- Author(s)
  YAMADA Kazunori D、LIN Fangzhou、NAKAMURA Tsukasa
- Journal Title
  
  IIS
  
  Volume: 27 Issue: 1 Pages: 25-40
- DOI
  10.4036/iis.2020.R.01
- NAID
  130008009391
- ISSN
  1340-9050, 1347-6157
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19J00950, KAKENHI-PROJECT-18K18143
[Journal Article] De novo profile generation based on sequence context specificity with the long short-term memory network2018
- Author(s)
  Yamada KD, Kinoshita K
- Journal Title
  
  BMC Bioinformatics
  
  Volume: 19 Issue: 1 Pages: 272-272
- DOI
  10.1186/s12859-018-2284-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18143
[Journal Article] Parallelization of MAFFT for large-scale multiple sequence alignments2018
- Author(s)
  Nakamura Tsukasa、Yamada Kazunori D、Tomii Kentaro、Katoh Kazutaka
- Journal Title
  
  Bioinformatics
  
  Volume: 印刷中 Issue: 14 Pages: 2490-2492
- DOI
  10.1093/bioinformatics/bty121
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K07464, KAKENHI-PROJECT-17J06457
[Journal Article] MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization2017
- Author(s)
  Katoh Kazutaka、Rozewicki John、Yamada Kazunori D.
- Journal Title
  
  Briefings in Bioinformatics
  
  Volume: 印刷中 Issue: 4 Pages: 1160-1166
- DOI
  10.1093/bib/bbx108
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K07464
[Journal Article] Application of the MAFFT sequence alignment program to large data―reexamination of the usefulness of chained guide trees2016
- Author(s)
  Yamada KD, Tomii K, Katoh K
- Journal Title
  
  Bioinformatics
  
  Volume: 32 Issue: 21 Pages: 3246-3251
- DOI
  10.1093/bioinformatics/btw412
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-16K07464

1. Katoh Kazutaka (70378868)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. 富井健太郎 (40357570)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

Yamada Kazunori 山田 和範

Research Projects

Research Products

Co-Researchers

Artificial intelligence for sequence similarity searchPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Extension of MAFFT multiple sequence alignment program mainly for large data

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Developing a Novel Recurrent Neural Network Architecture with Fewer Parameters and Good Learning Performance2021

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] De novo profile generation based on sequence context specificity with the long short-term memory network2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Parallelization of MAFFT for large-scale multiple sequence alignments2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization2017

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Application of the MAFFT sequence alignment program to large data―reexamination of the usefulness of chained guide trees2016

Author(s)

Journal Title

DOI

Data Source

Yamada Kazunori 山田和範