Biomedical subjects

Joseph Cruz

Publications and source records attributed to Joseph Cruz.

3 recordsLinked to original sources

PubMed2005

BacMap: an interactive picture atlas of annotated bacterial genomes.

BacMap is an interactive visual database containing fully labeled, zoomable and searchable chromosome maps from more than 170 bacterial (archaebacterial and eubacterial) species. It uses a recently developed visualization tool (CGView) to generate high-resolution circular genome maps from sequence feature information. Each map includes an interface that allows the image to be expanded and rotated. In the default view, identified genes are drawn to scale and colored according to coding directions. When a region of interest is expanded, gene labels are displayed. Each label is hyperlinked to a custom 'gene card' which provides several fields of information concerning the corresponding DNA and protein sequences. Each genome map is searchable via a local BLAST search and a gene name/synonym search. BacMap is freely available at http://wishart.biology.ualberta.ca/BacMap/.

Chromosome Mapping↗

PubMed2005

Late postoperative capsular block syndrome: entrapment of liquefied after-cataract by capsular bend.

We report a case of capsular bend-related entrapment of liquefied after-cataract that resulted in late postoperative capsular block syndrome in a 56-year-old man. Slitlamp examination showed a capsular bend formation at the square edge of the optic. Superiorly, leakage in the capsular bend resulted in fluid extending into Soemmering's ring, although communication with the anterior chamber was limited by the capsular bend. Fluid was seen between the lens and posterior capsule.

Humans↗

PubMed2005

Dynamic cellular automata: an alternative approach to cellular simulation.

A wide variety of approaches, ranging from Petri nets to systems of partial differential equations, have been used to model very specific aspects of cellular or biochemical functions. Here we describe how an agent-based or dynamic cellular automata (DCA) approach can be used as a very simple, yet very general method to model many different kinds of cellular or biochemical processes. Specifically, using simple pairwise interaction rules coupled with random object moves to simulate Brownian motion, we show how the DCA approach can be used to easily and accurately model diffusion, viscous drag, enzyme rate processes, metabolism (the Kreb's cycle), and complex genetic circuits (the repressilator). We also demonstrate how DCA approaches are able to accurately capture the stochasticity of many biological processes. The success and simplicity of this technique suggests that many other physical properties and significantly more complicated aspects of cellular behavior could be modeled using DCA methods. An easy-to-use, graphically-based computer program, called SimCell, was developed to perform the DCA simulations described here. It is available at http://wishart.biology.ualberta.ca/SimCell/.

Algorithms↗