Research
Our research is dedicated to exploring the complex world of RNA and DNA interactions in bacteria, with a primary focus on understanding the regulatory processes that govern RNA and DNA interactions in protein synthesis. Non-coding RNAs along with DNA/RNA binding proteins play a crucial role in these regulatory processes. We are developing new approaches to capture interactions between these molecules within bacterial cells, enabling us to uncover unorthodox nucleic acid interactions that reveal fundamentally new modes of gene regulation. Our multidimensional research interests span validation of sRNA-mRNA interactions, investigating the role of RNA chaperones, dissecting unorthodox RNA and DNA interactions and elucidating the role of such interactions during infection. By leveraging the power of cutting-edge methodologies we aim to advance our understanding of regulons, ultimately contributing to the broader scientific community's knowledge and its potential applications in biotechnology and medicine in the long term.
We leverage the power of unsupervised learning methods to unravel the complexities hidden within deep-sequencing data. We recognize that the vast amount of information generated through cutting-edge sequencing technologies holds the key to uncovering novel insights into gene regulation.
Unsupervised learning algorithms, such as clustering and dimensionality reduction techniques, allow us to identify patterns and relationships within the data without the need for predefined labels or classifications.