Shohei Nagata

Shohei Nagata

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Mar 2020

慶應義塾大学大学院修士課程

政策・メディア研究科 先端生命科学プログラム (BI)

Mar 2020

[e-Book] Genome Invading RNA Networks

We have long accepted that new biological information is mostly derived from random‚ error-based’ events. But abundant empirical evidence establishes the crucial role of non-random genetic content operators (non-coding regulatory DNA) acting through the expression of RNA with its complex biology to create complex regulatory control. Along with the parallel comeback of regulatory RNA in virology, RNA is now at center stage in how we think about complex organisms. Regulatory RNAs derive from infectious events and can co-operate, build communities, generate nucleotide sequences de novo and insert/delete them into host genetic content. In this sense RNAs determine host genetic identities throughout all kingdoms including the virosphere. But inclusion of a transmissive viral biology differs fundamentally from conventional thinking in that it represent a vertical domain of life providing vast amounts of linked information not derrived from direct ancestors. Interestingly single RNA stem loops react as a physico-chemical entities, whereas with the cooperation of various RNA stem-loops, networks and biological selection emerges. Thus we can argue, that for DNA based organisms, an abundance of infective clouds of RNA groups are a central driving force of evolution which are co-adapted from persistent infectious agents that serve as regulatory tools in nearly all cellular processes. Additionally, the resulting productive RNA-networks constantly produce new sequence space, wh...

May 2018

[e-Book] Genome Invading RNA Networks

May 2018

Aug 2019

インターン・クラウドソリューションアーキテクト

Aug 2019

Microsoft Azureのクラウドソリューションアーキテクト

Apr 2014
-
Mar 2018

慶應義塾大学

4 years

環境情報学部

Apr 2014 - Mar 2018

SFC STUDENT AWARD 2017

Mar 2018

SFC STUDENT AWARD 2017

Mar 2018

[学術論文] Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

Nov 2017

[学術論文] Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

Nov 2017

Presentation Prize 2015, Neuroscience, Summer School, Downing College, University of Cambridge

Mar 2015

Presentation Prize 2015, Neuroscience, Summer School, Downing College, University of Cambridge

Mar 2015

アート&テクノロジー東北2014 奨励賞

Mar 2014

アート&テクノロジー東北2014 奨励賞

Mar 2014

Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

ヒキワラシのいる庭

ヒキワラシのいる庭

Apr 2015
-
Mar 2016

CNSコンサルタント(Intern)

Apr 2015 - Mar 2016

慶應義塾大学SFCの大学内ネットワークシステム (CNS)のコンサルタント業務

Feb 2016

インターン・サイエンティスト

Feb 2016

Eコマースサイトの大規模ログデータの分析


Skills and qualities

Data Science

Recommended by Motofumi Saito, Yuta Seto
2

Bioinformatics

Recommended by Motofumi Saito, Yuta Seto
2

R

Recommended by Motofumi Saito
1

Data Analysis

Recommended by Motofumi Saito
1

Git

Recommended by Motofumi Saito
1

Publications

[e-Book] Genome Invading RNA Networks

May 2018

[学術論文] Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

Nov 2017

Accomplishments/Portfolio

Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation

ヒキワラシのいる庭

Awards and Certifications

SFC STUDENT AWARD 2017

Mar 2018

Presentation Prize 2015, Neuroscience, Summer School, Downing College, University of Cambridge

Mar 2015

アート&テクノロジー東北2014 奨励賞

Mar 2014