Understanding life requires observing it at single-cell resolution. Thanks to a new tool developed by ICTER scientists, it’s now possible to track gene expression changes and how gene regulation mechanisms interact over time. Ocelli is software that transforms the analysis and visualization of multidimensional single-cell data.
Dr Natalia Ochocka-Lewicka from ICTER is completing a prestigious research internship at Stanford, developing gene editing methods using the CRISPR/Cas technique. The beginning of a new chapter in the career of a young researcher and a chance for a breakthrough in immuno-oncology – this is how one can describe Dr Natalia Ochocka-Lewicka’s four-month stay at […]
Computational work in our lab focuses on developing new algorithms and scalable tools for analysis of massive single-cell datasets originated from wet lab and their integration across platforms and techniques. In particular, we are interested in creating new approaches for comprehensive inference of developmental trajectories and delineation of cell atlases from single-cell data, understanding the […]
Experimental part of the scientific activity of our group focuses mostly on leveraging high-throughput single-cell transcriptome and epigenome sequencing for interrogation of eye diseases, including retinal pathologies. Single-cell sequencing data enables to identify the previously unknown molecular mechanisms involved in inherited retinopathies and age-related eye diseases. Therefore, the perspectives of new therapies occur. Team: Dr. […]
19.11.2025 
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