Lyda Hill Department of Bioinformatics 12/1/19 Lyda Hill Department of Bioinformatics 12/1/19

Deep Learning Program featured in The Scientist

Image of the Day: Melanoma Neural Network featured in The Scientist

Lyda Hill Department of Bioinformatics 10/1/19 Lyda Hill Department of Bioinformatics 10/1/19

Automatic detection of morphological motifs

Driscoll et al. published an article in the October issue of Nature Methods describing u-shape3D, a suite of computational tools to investigate how 3D cellular morphology governs intracellular signaling.

Lyda Hill Department of Bioinformatics 8/1/19 Lyda Hill Department of Bioinformatics 8/1/19

Local changes in microtubule cytoskeleton regulate the activity of GEF-H1

Discrete events of microtubule depolymerization correlate with continuous activity of GEF-H1, as shown by Poisson point process theory.

Lyda Hill Department of Bioinformatics 5/1/19 Lyda Hill Department of Bioinformatics 5/1/19

The hyperactivating Rac1P29S mutation drives drug tolerance and metastasis in melanoma

A lab team orchestrated by Ashwathi (Abbee) Mohan discovered that the molecular infrastructure that allows a cell to control its shape and migrate can also be engaged in cancer cells to increase signals that promote growth.

Lyda Hill Department of Bioinformatics 3/1/19 Lyda Hill Department of Bioinformatics 3/1/19

Deep learning program featured in The Jerusalem Post

Recently published work by Zaritsky, Jamieson, Cillay, Nevarez, Welf and Danuser was the feature of an article on February 25, 2019 in The Jerusalem Post.

Lyda Hill Department of Bioinformatics 2/1/19 Lyda Hill Department of Bioinformatics 2/1/19

Release of Growth Cone Analyzer

Release of Growth Cone Analyzer: A new method to quantify morphological variation among complex cellular architectures.

Lyda Hill Department of Bioinformatics 1/1/19 Lyda Hill Department of Bioinformatics 1/1/19

Dr. Dagan Segal awarded the prestigious EMBO Postdoctoral Fellowship

Dr. Dagan Segal awarded an EMBO Postdoctoral Fellowship.