RAMOT at Tel Aviv University Ltd.

Computational Biology - Analysis of genetic data

Posted by RAMOT at Tel Aviv University Ltd.Responsive · Innovative Products and Technologies · Israel

Summary of the technology

Methods for analysis of genetic variants, such as single nucleotide polymorphisms (SNPs) or sequenced DNA and RNA using high-throughput sequencing and genotying technologies. These novel computational and statistical methods improve diagnosis and a personalize treatment of common complex diseases, such as cancer or cardiovascular diseases based on an individual's genetics.
Project ID : 2-2012-410

The Technology

The research in Eran Halperin’s lab mainly focuses on the development of computational tools for the analysis of genetic data; we are mostly interested in the development of tools that enable and facilitate genetic studies of common complex diseases, such as cancer or cardiovascular diseases. These studies shed important light on the biological mechanisms of these diseases, and they will pave the way to improved diagnosis and a personalize treatment based on an individual's genetics.

We develop methods for the analysis of genetic variants, such as single nucleotide polymorphisms (SNPs) or sequenced DNA and RNA using high-throughput sequencing and genotying technologies. These methods include statistical methods for the analysis of disease association studies, and methods for preprocessing of the data including read mapping, haplotype inference, population structure and inference, and identity by descent.

Our activities touch upon a wide range of disciplines, including combinatorial and optimization algorithms, machine learning, statistical genetics, population genetics, and bioinformatics. We are working closely with many groups of epidemiologists and geneticists around the world on genetic studies of different diseases, among those are Non-Hodgkin's Lymphoma, type 2 diabetes, coronary artery disease, and Amyotrohpic Lateral Sclerosis (ALS).

The Need

Disease association studies shed important light on the biological mechanisms of these diseases, and they will pave the way to improved diagnosis and a personalize treatment based on an individual's genetics. The analysis of these studies requires novel computational and statistical methods that are developed in our lab.

Potential Application

Software packages that can be used in the analysis of disease association studies.

Project manager

Oren Calfon
VP Business Development, ICT

Project researchers

Eran Halperin
T.A.U Tel Aviv University, Life Sciences
Molecular Microbiology-Biotechnology

Related keywords

  • Medicine, Human Health
  • Diagnostics, Diagnosis
  • Medical Technology / Biomedical Engineering
  • Biology / Biotechnology
  • Cellular and Molecular Biology Technology
  • Microbiology Technology
  • Genome Research
  • Bioinformatics Technology
  • Micro- and Nanotechnology related to Biological sciences
  • Microbiology Market
  • Micro- and Nanotechnology related to Biological sciences
  • Biochemistry / Biophysics Market
  • Stem cells and biobanks
  • Cellular and Molecular Biology Market
  • Bioinformatics Market
  • Diagnostic
  • Medical imaging
  • Therapeutic
  • Other Medical/Health Related
  • Other medical/health related (not elsewhere classified)
  • Clinical Medicine
  • Medical equipment
  • Life Sciences and Biotechnology
  • Research / Development tools
  • Life Sciences and Biotechnology
  • RNA / DNA therapy
  • medical devices
  • Diagnostic Instruments

About RAMOT at Tel Aviv University Ltd.

Technology Transfer Office from Israel

Ramot is Tel Aviv University's (TAU) technology transfer company and its liaison to industry, bringing promising scientific discoveries made at

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