Tag Archives: Eric Siggia

An embryonic cell’s fate is sealed by the speed of a signal

An embryonic cell’s fate is sealed by the speed of a signalEarly in development, chemical signals tell cells whether to turn into muscle, bone, brain or other tissue. By tracking cells’ responses to signals, researchers found the speed at which the signal arrives has an unexpected influence on that decision. More »

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Eric Siggia joins National Academy of Sciences

Eric D. Siggia, whose laboratory is interested in applying informatics approaches to study gene expression and other biological problems, has been elected to the National Academy of Sciences, one of the highest honors given to a scientist or engineer in the United States. More »

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Simulator allows scientists to predict evolution’s next best move

In evolution, even the slightest beginnings can lead to tools as complex as the human eye. But how? By modeling the steps evolution takes to build, from scratch, an adaptive biochemical network, Rockefeller University scientists have provided a computational answer to one of Darwin’s biggest questions. More »

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Device allows scientists to control gene activity across generations of cells

A group of biophysicists at Rockefeller University has developed a new tool that can control and measure, more precisely than before, the activity of genes and proteins within single budding yeast cells as they divide and multiply. The device may yield new insight into the functioning of regulatory networks. More »

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Sizing cells up: Researchers pinpoint when a cell is ready to reproduce

Like people, cells must reach a certain size before they can reproduce. A collaboration between Rockefeller University biologists, physicists and mathematicians shows how and when cells reach this size requirement, findings that provide researchers with a new quantitative framework to get to the core mechanisms involved in how a cell monitors its size. More »

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New ‘PhyloGibbs’ software helps scientists make sense of DNA

For scientists studying the link between genes and disease, there’s no shortage of information. The challenge is making sense of the data. A new algorithm designed by Eric Siggia’s Rockefeller laboratory may be an important new tool for scientists seeking to extract answers from sequenced genomes. More »

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Noise inner life cells

Within the smoothly operating factory that is the cell, tiny molecular machines carry out their tasks with order and certainty. Or at least that’s what many scientists once believed. More »

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