FAiS
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    • Introduction
    • PSORT (Prediction of protein localization sites in cells) 
    • Melina2 (A web-based promoter analysis tool) 
    • DBTBS (Database of Bacillus subtilis promoters and transcription factors) 
    • DBTSS (Database of human transcriptional start sites) 
    • DBTGR (Database of tunicate gene regulation) 
    • HINTdb (Homologous Interactions Database) 
    • HitPredict (Database of protein-protein interactions) 
    • TimeXNet (A tool predicting activated pathways using time-course data) 
    • TimeXNet Web 
    • DBTMEE (Database of transcriptome in mouse eary embryos) 
    • OpenTein (Open Teratoma Investigation) 
    • OpenContami (Open Cell Microbial Contaminants) 
    • RegMed (Open source tools for regenerative medicine) 
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NAKAI Lab.

Laboratory of Functional Analysis in silico

Human Genome Center
The Institute of Medical Science
The University of Tokyo


研究室紹介ポスター[PDF] 
Annual research report 


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Mission Statement


Functional Analysis in silico (FAiS) is to conduct computational ("in silico") studies on the functional aspects of genome information. Roughly speaking, genome information represents what kind of proteins/RNAs are synthesized under which conditions. Thus, our study includes the structural analysis of molecular function of each gene product as well as the analysis of its regulatory information, which will lead us to the understanding of its cellular role represented by the networks of inter-gene interactions.

「イン・シリコ(in silico)」とは、in vivo(生体内)、in vitro(試験管内)などの生物学用語のアナロジーから生まれた用語で、シリコン内、すなわちコンピュータを使った研究という意味です。
 本研究室は、ヒトゲノム解析センターに所属しており、ゲノム情報のイン・シリコ解析に焦点を合わせています。そして、実験研究者と連携して次世代シークエンサーなどの先端実験技術を駆使し、高度なバイオインフォマティクス技術の研究開発と、それらを応用することで、生物学的な新しい発見、疾患や免疫応答メカニズムの理解、再生医療への貢献を目指しています。

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 curriculum vitae



Research Interests



genome informatics

Genome Informatics

gene regulation modeling
epigenetics research
NGS data analysis

The understanding of the mechanisms of transcriptional regulation remains a great challenge for molecular biologists in the post-genome era. At the transcriptional level, DNA-binding proteins (transcription factors) modulate the expression of genes by binding to their specific DNA regulatory elements in nearby genomic regions. Nowadays, the identification and characterization of these components are valuable because the presence or absence of …

»more

computational proteomics

Computational Proteomics

protein function prediction
intrinsic disorder protein
PPI network analysis

Proteins play an important role in the functioning of the cell. We use computational methods to study the properties of proteins from two perspectives – their structure and their interactions. According to the structure-function paradigm, the functions of proteins are a direct result of their structure, which is fixed. However, there are several examples of proteins that function without a stable three-dimensional structure – known as intrinsically disordered proteins …

»more

resources

Bioinformatics Resource Development

open-source software
web-based tools
database

The importance of an "open innovation" environment that allows research institutes to continuously create innovative technologies has become more permeable. We are developing computational platforms that help data-driven science. Our efforts making databases and source codes publicly accessible offer many opportunities to the communities. …

»more







 Public Relations

  • 2025.03.13:  Yitao Yang (D2) has been awarded the Most Outstanding Student Publication Award by IMSUT 

  • 2025.03.13:  Weihang Zhang (D3) has been awarded Outstanding Student Publication Award by IMSUT 

  • 2025.02.27:  [EurekAlert]  Deep-learning framework advances tissue analysis in spatial transcriptomics

  • 2024.05.01:  Yang CUI (D3) has been granted SPRING GX fellowship

  • 2024.04.01:  Yuna MIYACH (D1) has been granted SPRING GX fellowship

  • 2023.10.01:  Wanzhe XU (D1) has been granted SPRING GX fellowship

  • 2023.09.09:  Sung-Joon PARK received the Outstanding Oral Presentation Award from IIBMP2023  

  • 2023.04.01:  Yutong DAI (D1) has been granted SPRING GX fellowship

  • 2022.04.01:  Weihang ZHANG (D1) has been granted SPRING GX fellowship

  • 2021.09.01:  Xin ZENG (D1) has been granted SPRING GX fellowship

  • 2021.09.29:  Taisuke HORI received the Most Outstanding Oral Presentation Award from IIBMP2021  

  • 2021.01.16:  Hao JIA awarded Best Paper Presentation in InCoB 2020  

  • 【News Letter】医学・医療への貢献から、健康行動の促進まで 医療情報の利活用で、新しい価値創造を
     (LINK-J 2020.11.04) 

  • 2020.09.03:  Prof. Nakai received Japan Society Bioinformatics Award  

  • 2020.09.03:  Assoc. Prof. Park awarded Excellent Oral Presentation in IIBMP 2020  

  • Annual research report (Human Genome Center) 

  • Lab. introduction poster (研究室紹介ポスター) [PDF]

  • Lecture slides (講義資料) 

  • Press release:
    ホヤが細菌から獲得した遺伝子で身を守れるようになったわけ~遺伝子の水平伝搬による生物進化に関する新説の提唱 (2016.12) 

  • Article:
    天然変性タンパク質の機能予測法について (SAR News, 2015.04) 

  • Press release:
    精子は発生開始のコーディネーター (2013.12) 

  • Interview:
    最先端の開拓者たち (日経コンピュータ 2013.02) 

  • Press release:
    再生医療臨床実現化ハイウェイ研究事業 (2012.02) 

  • Article:
    転写制御解析のために有用な公共データベースとツールの紹介 (実験医学増刊 2011.09) 

  • Article:
    ゲノム配列情報解析の課題と未来について (SciencePortal China 2010.05) 

  • Article:
    アミノ酸配列に基づくタンパク質の細胞内局在予測 (実験医学増刊 2008.04) 

[FAiS@X]

Functional Analysis in silico | NAKAI Lab.

8F General Research Bldg., 4-6-1 Shirokanedai Minato-ku Tokyo 108-8639, Japan
Tel. +81-3-5449-5131
Fax. +81-3-5449-5133

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〒108-8639
東京都港区白金台4-6-1 総合研究棟8階
Tel. 03-5449-5131
Fax. 03-5449-5133