Algorithms in

Algorithms in

Computational

Computational

Genomics

Genomics

at TAU

at TAU

We develop algorithms and tools for analysis of
genomic and systems biology data. Areas include:

Nov. 2017: Karyotype reconstruction paper is published

Read Rami's paper on the promise and pitfalls in reconstructing cancer karyotypes in BMC Bioinformatics.​

Nov. 2017: Talk on heart and kidney disease at EAPM 2017

The work by Gal and Didi on personalized prediction of adverse heart and kidney outcomes was accepted for presentation at the 1st congress of  European Alliance for Personalized Medicine (EAPM), in Belfast. Gal will present it on November 28 2017.

October 2017 A Parkinson’s disease signature

Read the paper in Neurology on Parkinson's disease prediction based on blood expression profiles. The paper summarizes the EU project GenePark, with participation of groups from Germany, Israel, France, Slovenia and the USA. Several members of our group conducted the bioinformatics analysis over the years, culminating in the work of Didi Amar.

October 2017: Universal hitting sets

Read Yaron and David's paper, joint with Carl Kingsford's group, on designing and utilizing small universal hitting sets in PLoS CB.

October 2017: Welcome to Hagai

Welcome to Hagai Levi, who is joining the group as an MSc student (co-supervised by Prof. Carmit Levy, Medicine).

Sept 2017: Congratulations to Idan Nurick!

Congratulations to Idan, who completed his MSc thesis, co-supervised by Rani Elkon, on HI-C data analysis.

Sept. 2017: An extensive enhancer promoter map and algorithm

Read Tom and Didi's recent paper on BioRxiv describing the FOCS algorithms for enhancer-promoter linking, and an extensive map of more than 300,000 links based on vast ENCODE, Roadmap, Fantom and GroSeq data.

Sept. 2017: Welcome to Dan Coster

We welcome Dan Coster, who is joining the group as an MSc student.  Dan is a student in the Lautman program and will be working on precision medicine.

August 2017: Copy number transformation paper published

Ron and Meirav's paper giving a linear time algorithm for copy number transformation was published in JCB.

August 2017: PROMO website is up

The PROMO tool is now available for download by beta users here. Promo,  developed by Dvir and Neta, streamlines analysis of large multi-omic datasets in cancer.      
Ron-Shamir

Prof. Ron Shamir

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Expander

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Adeptus

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Matisse

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Morph

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Amadeus

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TWIGS

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Recycler

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All projects