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本實驗室致力于整合計算與實驗基因組學(xué)，旨在揭示生理狀態(tài)和疾病狀態(tài)下RNA合成與翻譯的調(diào)控機制。課題組通過“干濕結(jié)合”的研究體系，系統(tǒng)性推進技術(shù)創(chuàng)新、基礎(chǔ)探索與臨床轉(zhuǎn)化。在技術(shù)創(chuàng)新方面，我們開發(fā)基于人工智能（包括機器學(xué)習(xí)與深度學(xué)習(xí)）的算法，實現(xiàn)對功能基因組學(xué)數(shù)據(jù)的整合分析，并建立基因表達流程的新型測序技術(shù)。在基礎(chǔ)研究方面，我們聚焦于RNA與蛋白質(zhì)代謝的多層級耦合機制，解析其在發(fā)育與疾病中的分子調(diào)控網(wǎng)絡(luò)。在臨床轉(zhuǎn)化方面，我們致力于發(fā)展靶向RNA翻譯過程及生成蛋白質(zhì)的治療方法。目前主要研究方向包括：

1.開發(fā)深度學(xué)習(xí)模型，解析RNA生成與翻譯的動態(tài)過程，探究其在生理調(diào)控與疾病發(fā)生中的功能；

2.發(fā)展核糖體圖譜分析技術(shù)，揭示RNA翻譯調(diào)控在癌癥與神經(jīng)退行性疾病中的作用；

3.探索非經(jīng)典翻譯區(qū)及微蛋白的進化、功能及其在疾病中的調(diào)控機制；

4.結(jié)合AI與測序技術(shù)，推動臨床個體化檢測與精準(zhǔn)治療策略的發(fā)展。

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