Alexander Stark

· Research Institute of Molecular Pathology
71h 指数
33,630总引用
185发文
104i10

简介

We use experimental and computational techniques to study how gene regulatory information is encoded in the genome sequence. Using ChIP-Seq, in vivo and in vitro enhancer screens, sequence analyses, and machine learning, we aim to “crack” the regulatory code by predicting enhancer activity from DNA sequence, and thus to understand how transcriptional networks define cellular and developmental programs.

研究方向

Genomics and Chromatin DynamicsRNA Research and SplicingRNA and protein synthesis mechanismsCRISPR and Genetic EngineeringMicroRNA in disease regulation

数据来源: OpenAlex + ORCID + Wikidata · 数据质量: verified

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