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이 연구실은 유전자가 어떤 조직과 세포에서 발현되는지, 또 생존에 얼마나 필수적인지를 고려해 유전자 기능을 연구합니다. GTEx, Allen Brain Atlas, gnomAD 등의 공개 데이터를 활용해 연구 범위를 설정하고 가설을 구체화합니다.
AI가 연구실 홈페이지를 바탕으로 생성한 연구실 소개예요
연구실 홈페이지의 소개
KAIST is in Daejeon, the scientific capital of Korea which houses much of the nation’s R&D. The campus is beautiful and very international, with ample housing inside and nearby. Well-trained scientists and their passion are important rate-limiting assets of our society. Given how many important scientific questions there are to ask, reducing failure and ensuring each of you succeeds is important even beyond your personal career. There are a lot of reasons why a research project can fail, and some of them are avoidable. For biological research that focuses on genes, assessing ‘which cell’ and ‘how essential’ is critical. A brilliant hypothesis about a gene’s function can crumble if the gene isn’t expressed in the right tissue or if it’s so vital that any perturbation is lethal. Fortunately, a wealth of publicly available data can help you de-risk your project from the outset. This post will walk you through a powerful trifecta of online resources—GTEx, Allen Brain Atlas, and gnomAD—to constrain your research scope and build a more robust hypothesis. Before you even think about complex experiments, a fundamental question needs an answer: Is your gene of interest expressed in the tissue you plan to study? The Genotype-Tissue Expression (GTEx) portal is an invaluable resource for exploring gene expression across a wide array of human tissues. The GTEx project has collected data from a multitude of post-mortem donors, providing a comprehensive look at the normal expression landscape. You can visualize both bulk RNA-sequencing data, which gives an average expression level for a tissue, and single-cell RNA-sequencing data for a more granular view. By starting with GTEx, you can quickly confirm if your gene is present in the right biological context, preventing you from pursuin
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| 연구실 | 대학 | 주요 주제 | 구성원 | 비교 |
|---|---|---|---|---|
Translational Molecular Phenomics Lab이소현 교수신생 랩 | KAIST | 뇌·신경과학면역·암 | 8 | |
계산분자생물학 연구실이영석 교수 | KAIST | 유전체·유전자 | 27 | |
Connectomics and Neural Circuit Structure Lab (CONNCS Lab)배준환 교수신생 랩모집 안내 | KAIST | 뇌·신경과학 | 3 | |
Functional Genomics Lab이철구 교수 | 고려대 | 유전체·유전자 | – | |
계산유전체학연구실김준호 교수 | 성균관대 | 유전체·유전자 | – | |
계산생물학 연구실김종경 교수모집 안내 | POSTECH | 유전체·유전자 | 7 |