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Ask bigger questions with genomic data.

The talks will be held in English

18:00- 18:30- Gathering, mingling

18:30 - 19:10 - First talk with Amit Alon with Regression and classification with whole genome.

About: The talk will show how i can utilize known properties of protein coding gene evolution to identify novel proteins and translational plasticity that can enrich and diversify genomes in mammals in a programmed systematic manner. By systematically analyzing complete genomes I produce a low dimensions signal that can be analyzed using harmonic tools to find frequencies hiding in them. this allows me to find non canonical translation in protein coding genes (as predictions for testing)

Bio: Amit Alon, BSc Computer science, MSc and PhD in Neurobiology - computetional biology

19:10 - 19:50 - Second talk with Shiran Abadi "Designing optimal CRISPR targets for genome editing".

About the talk: Several years ago, the CRISPR system has emerged into our lives, bringing the promise for curing diseases, improving crops quality, and facilitating laboratory research by editing targeted genes. The modification of specific genes and genomic regions is enabled by designing CRISPR to target them according to sequence similarity to the DNA sequence. However, the efficacy of one design is not uniquely defined by exact identity to the target site, thus additional genes might be unintentionally modified. I present CRISTA (CRISPR Target Assessment), a novel algorithm within the machine learning framework that determines the probability of a genomic site to be cleaved by a given CRISPR design.

Bio: Shiran Abadi is a PhD student at Tel-Aviv University. Her research is aimed at employing computational applications to modelling evolutionary processes based on molecular data, as alternatives for the conservative, time-consuming, statistical approaches. Shiran did her MSc and BSc in Bioinformatics in Tel-Aviv University.

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