Spatial Genomics Group

Research in the Spatial Genomics group includes a combination of technology development, data analysis and experimental work and aimed at developing new insights into learning and memory, neurological diseases and cancer biology.

 

Spatial genomics is a new field that seeks to map the physical position of millions of RNA molecules in cells and tissues and correlate them to normal and pathological conditions. We developed a technology for RNA sequencing inside tissues, which allows studying RNA molecules with unprecedented detail. We use this technology to unravel how molecular content is stored within cells in space in order to understand the function of complex tissues. 

Research Areas

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News

  • Our wet lab at the Engineering Faculty is now open (April 2020)

  • Read this introduction article to learn about our new lab (April 2020)

  • We are excited to welcome Alex and Noa to our lab! (July 2020)

  • Congratulations to Noa and Michal for winning Bar-Ilan BINA scholarship! (September 2020)

  • Congratulations to Alex for winning the Bar-Ilan president scholarship! (October 2020)

  • Congratulations to Michal for winning Intel scholarship! (October 2020)

  • Our paper about Expansion Sequencing is published in Science (January 2021)

  • The field of spatially resolved transcriptomics has been selected as the Method of the Year 2020 (January 2021)

  • We are excited to welcome Tamar and Assa to our lab! (March 2021)

  • Our Expansion Sequencing technology is highlighted in Nature (June 2021)

  • We are excited to welcome Yaara and Tal to our lab! (September 2021)

  • Congratulations to Tamar, Tal, Yaara, Alex and Michal for winning Bar-Ilan BINA scholarship! (September 2021)

  • We are excited to welcome Efrat to our lab! (October 2021)

  • Our lab is recruiting excellent students who are interested in the fields of: data analysis and big data, machine learning, image processing, genomics, neuroscience, cancer biology, systems biology, automation, fluidics, super-resolution imaging and more. Candidates with bachelor degrees in engineering, physics, computer science, neuroscience, chemistry and biology are encouraged to apply.