Jianqiang Sun

Profile Information

Affiliation: 農業情報研究センター, 国立研究開発法人農業・食品産業技術総合研究機構

ORCID iD: https://orcid.org/0000-0002-3438-3199
J-GLOBAL ID: 201801007625397785
researchmap Member ID: B000322747

Research Interests

Research Areas

Papers

Mitigating excessive heat in Arabica coffee using nanosilicon and seaweed extract to enhance element homeostasis and photosynthetic recovery

Ekkachak Chandon, Patchawee Nualkhao, Metee Vibulkeaw, Rujira Tisarum, Thapanee Samphumphuang, Jianqiang Sun, Suriyan Cha-um, Suravoot Yooyongwech

BMC Plant Biology, Nov 12, 2024 Peer-reviewed
Predicting symptom severity in PSTVd‐infected tomato plants using the PSTVd genome sequence

Jianqiang Sun, Yosuke Matsushita

Molecular Plant Pathology, 25(7), Jul 2, 2024 Peer-reviewedLead authorCorresponding author
Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation

Reiko Akiyama, Takao Goto, Toshiaki Tameshige, Jiro Sugisaka, Ken Kuroki, Jianqiang Sun, Junichi Akita, Masaomi Hatakeyama, Hiroshi Kudoh, Tanaka Kenta …

Nature Communications, 14(1), Sep 22, 2023 Peer-reviewed
A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheat.

Jianqiang Sun, Moeko Okada, Toshiaki Tameshige, Rie Shimizu-Inatsugi, Reiko Akiyama, Atsushi J Nagano, Jun Sese, Kentaro K Shimizu

NAR genomics and bioinformatics, 5(3) lqad067, Sep, 2023 Peer-reviewedLead author
Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets

Shigeki Kishi, Jianqiang Sun, Akira Kawaguchi, Sunao Ochi, Megumi Yoshida, Takehiko Yamanaka

Royal Society Open Science, 10(6), Jun 28, 2023 Peer-reviewed
Few‐shot learning for plant disease recognition: A review

Jianqiang Sun, Wei Cao, Xi Fu, Sunao Ochi, Takehiko Yamanaka

Agronomy Journal, Feb 17, 2023 Peer-reviewedLead authorCorresponding author
JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis

Jianqiang Sun, Wei Cao, Takehiko Yamanaka

Frontiers in Plant Science, 13, Oct, 2022 Peer-reviewedLead authorCorresponding author
Improving the Accuracy of Species Identification by Combining Deep Learning With Field Occurrence Records

Jianqiang Sun, Ryo Futahashi, Takehiko Yamanaka

Frontiers in Ecology and Evolution, 9, 2021 Peer-reviewedLead authorCorresponding author
Fine‐scale empirical data on niche divergence and homeolog expression patterns in an allopolyploid and its diploid progenitor species

Reiko Akiyama, Jianqiang Sun, Masaomi Hatakeyama, Heidi E.L. Lischer, Roman V. Briskine, Angela Hay, Xiangchao Gan, Miltos Tsiantis, Hiroshi Kudoh, Masahiro M. Kanaoka …

New Phytologist, Nov 22, 2020 Peer-reviewed
A Recently Formed Triploid Cardamine insueta Inherits Leaf Vivipary and Submergence Tolerance Traits of Parents

Jianqiang Sun, Rie Shimizu-Inatsugi, Hugo Hofhuis, Kentaro Shimizu, Angela Hay, Kentaro K. Shimizu, Jun Sese

Frontiers in Genetics, 11(567262), Oct 6, 2020 Peer-reviewedLead author
TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data

Wei Su, Jianqiang Sun, Kentaro Shimizu, Koji Kadota

BMC Research Notes, 12(1), Mar, 2019 Peer-reviewed
Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results

Shitao Zhao, Jianqiang Sun, Kentaro Shimizu, Koji Kadota

Biological Procedures Online, 20(1), Mar 1, 2018 Peer-reviewed
High-Throughput Sequencing of the Expressed Torafugu (Takifugu rubripes) Antibody Sequences Distinguishes IgM and IgT Repertoires and Reveals Evidence of Convergent Evolution

Xi Fu, Jianqiang Sun, Engkong Tan, Kentaro Shimizu, Md Shaheed Reza, Shugo Watabe, Shuichi Asakawa

Frontiers in Immunology, 9, Feb, 2018 Peer-reviewedLead author
Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

Tang, Min, Sun, Jianqiang, Shimizu, Kentaro, Kadota, Koji

Bmc Bioinformatics, 16, 2015 Peer-reviewedLead author
TCC: an R package for comparing tag count data with robust normalization strategies

Sun, Jianqiang, Nishiyama, Tomoaki, Shimizu, Kentaro, Kadota, Koji

Bmc Bioinformatics, 14, 2013 Peer-reviewedLead author

Misc.

次世代シーケンサーデータの解析手法：第5回アセンブル、マッピング、そしてQC

孫建強, 清水謙多郎, 門田幸二

日本乳酸菌学会誌, 26(3) 193-201, Nov, 2015
次世代シーケンサーデータの解析手法：第4回クオリティコントロールとプログラムのインストール

孫建強, 湯敏, 清水謙多郎, 門田幸二

日本乳酸菌学会誌, 26(2) 124-132, Jun, 2015
次世代シーケンサーデータの解析手法：第3回Linux環境構築からNGSデータ取得まで

孫建強, 三浦文, 清水謙多郎, 門田幸二

日本乳酸菌学会誌, 26(1) 32-41, Mar, 2015
次世代シーケンサーデータの解析手法：第2回GUI環境からコマンドライン環境へ

孫建強, 湯敏, 西岡輔, 清水謙多郎, 門田幸二

日本乳酸菌学会誌, 25(3) 166-174, Nov, 2014
次世代シーケンサーデータの解析手法：第1回イントロダクション

門田幸二, 孫建強, 湯敏, 西岡輔, 清水謙多郎

日本乳酸菌学会誌, 25(2) 87-94, Jul, 2014

Research Projects

受粉時における自殖性と他殖性の質的・量的バランスを制御する分子機構と選択圧

科学研究費助成事業学術変革領域研究(A), 学術変革領域研究(A), 日本学術振興会, Jun, 2022 - Mar, 2027

清水健太郎, 渡辺正夫, 孫建強
宿主ゲノムとウイロイドゲノムを活用した病徴予測モデルの開発

科学研究費助成事業基盤研究(C), 基盤研究(C), 日本学術振興会, Apr, 2021 - Mar, 2024

松下陽介, 孫建強
ハイブリッド新種ゲノムが有するオミクス適応能の包括的な解析

科学研究費助成事業新学術領域研究(研究領域提案型), 新学術領域研究(研究領域提案型), 日本学術振興会, Jun, 2016 - Mar, 2021

瀬々潤, 清水健太郎, 孫建強
ＲＮＡ－ｓｅｑから得られる多群間比較トランスクリプトーム解析手法の開発

科学研究費助成事業特別研究員奨励費, 特別研究員奨励費, 日本学術振興会, Apr, 2015 - Mar, 2017

孫建強

Industrial Property Rights

特開2022-139956 情報処理装置、情報処理方法、及びプログラム

孫建強, 松下陽介
特願2020-207867 病虫害診断装置、病虫害診断方法、病虫害診断プログラム、モデル生成装置、モデル生成方法、及びモデル生成プログラム

山中武彦, 孫建強, 岸茂樹

Profile Information

Research Interests

Research Areas

Papers

Misc.

Research Projects

Industrial Property Rights

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