Math & Computer Science

Prof. Ehud Shapiro, Dr. Rivka Adar, Adam Spiro and Noa Chapal-Ilani

Finding the Source of Cancer Recurrence

17.07.2012

Biochemistry, Cancer, Math & Computer Science

Do chemotherapy drugs miss a hidden reservoir of cancer cells?

Living Microprocessor Tunes in to Feedback

12.06.2012

Molecular and Cell Biology, Genetics, Math & Computer Science

What keeps the machinery for chopping functional pieces out of certain long RNA strands from cutting up the wrong kinds of RNA?

PAIRS

11.06.2012

Molecular and Cell Biology, Genetics, Robotics and Machine Learning

Proteins must match up correctly to catch a ride from one site to another in the cell

Rewriting DNA to Understand What it Says

31.05.2012

Molecular and Cell Biology, Genetics, Math & Computer Science, Biotechnology

New Weizmann Institute technology speeds up DNA “rewriting” and measures the effects of the changes in living cells

Leukemia cells. Image: Wikimedia commons, NIH

Why Chemotherapy Fails

29.05.2012

Biochemistry, Cancer, Bioinformatics and Computational Biology

Research led by Weizmann Institute scientists shows why leukemia often returns

Top: Dr. Noa Chapal-Ilani and Yitzhak Reizel. Bottom: Drs. Rivka Adar and Shalev Itzkovitz, and Profs. Nava Dekel and Ehud Shapiro

Skeletons (and other Organs) in the Cell Family Tree

15.05.2012

Cancer, Stem Cells, Math & Computer Science, Bioinformatics and Computational Biology

Tracing the lineages of cells resolves some outstanding questions in biology

The Vitamin Map

02.04.2012

Biochemistry, Plants and Agriculture, Math & Computer Science

Plant breeders may soon be using “Underground maps” to improve their crops

The "Before image" of Visual Summarization

Weizmann Invention: Visual Summarization

19.03.2012

Math & Computer Science, Technology & Applications, Yeda Technology Transfer

The new method could put an end to fuzzy, cropped thumbnail images

$Associations between bacterial species in the gut microbiota of “humanized” mice. A spring graph in which nodes correspond to significant relationships between “species”-level, and edges correspond to the top 300 nonlinear relationships. Node size is proportional to the number of these relationships between species relationships, black edges represent relationships explained by diet, and node glow color is proportional to the fraction of adjacent edges that are black (100% is red, 0% is blue)$