Research

Our lab develops algorithms to infer predictive models of molecular interactions based on high-throughput biological data.

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People

Meet our esteemed team of computational biologists including senior scientisis, programmers, grad students and undergrads.

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Publications

Our publication record includes papers at top bioinformatics journals and collaborations published in biological journals.

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Software

All the software developed in the lab is freely available. We encourage their wide-spread use and welcome your comments.

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Videos

Our team members present their work and share their knowledge in a variety of events and conferences.

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Latest News

Deep learning poster at MLCB 2020

Ofir will take part in the poster session at this year's MLCB, presenting his work on mRNA degradation dynamics.

Group meeting

In the spirit of social distancing we have moved our meetings to Zoom.

We welcome new M.Sc. student Ori Feldman

Ori will work on predicting icSHAPE reactivity.

We welcome new M.Sc. student Maor Turner

Maor will work an developing predictive algorithms for RNA G-quadruplex detection.

Sofia received a the icon - fellowship for interdisciplinary research

This fellowship is awarded to excellent MSc students conductig research involving multiple scientific disciplines.

We welcome new M.Sc. student Shai Elkayam

Shai will work on CRISPR-related algorithms, mainly on- and off-target prediction as part of CRISPRIL consortium.

We welcome new M.Sc. student Reut Moshe

Reut will work on analysis of high-throughput data of protein interactions jointly with Prof. Niv Papo.

We welcome summer intern Alice Aubert from Ecole Polytechnique

Alice will work on analysis of high-throughput RNA probing data.

New paper in Bioinformatics: DeCoDe

Tyler solved the problem of generating an efficient degenerate codon library to cover as many protein sequences under an experimenta limit.

We welcome M.Sc. student Moshe Shalom

Moshe will be working on predicting CRISPR sgRNA on-target efficiency.

Sofia received a icon - fellowship to support students in high-tech subjects

This fellowship is awarded by the Ministry of Science and Technology to excellent MSc female students in high-tech subjects.

Paper and poster presentation at ACM-BCB 2019

Yaron will present Mira's study on predicting G-quadruplexes using deep neural neutworks.

We welcome M.Sc. student Sofia Aizenshtein

Sofia will be working on predicting DNA-binding prefrences of zinc finger proteins.

We welcome M.Sc. student Maor Asif

Maor will be working on inferring protein-DNA binding specificities from HT-SELEX data.

We are extremely happy to host MIT undergraduate student Baris Ekim

Baris will work on algorithms for generating compact universal k-mer hitting sets.

Deep learning poster at RECOMB 19

Mira will present her work on predicting G-quadruplexes using deep neural neutworks.

Yahel received the Yaacov Ben-Yitzhak Hacohen MSc icon - fellowship

This fellowship is awarded to excellent MSc Engineering students.

We are extremely happy to host Stanford PhD student Tyler Shimko

We are extremely happy to host Stanford PhD student Tyler Shimko

Tyler will spend the next two months working with us on algorithms for sequence design problems.

We welcome M.Sc. student Yifat Shemesh

Yifat will be working on a joing project with Dr. Kobi Cohen on predicting RNA probing data.

We welcome M.Sc. student Yahel Salomon

Yahel will be working on a joing project with Dr. Ramon Birnbaum deciphering the transcriptional program of neuronal cell differentiation.

Deep learning poster at IBS 2018

Ilia Goland will present our poster on deep learning for microarray data preprocessing at IBS 2018.

Deep learning tutorial at ECCB 18

Yaron taught a tutorial on deep learning for predicting protein-DNA and -RNA binding.

Paper presentation at ECCB 18

Ilan Ben-Bassat presented a joint work on deep learning for protein-RNA binding.