Computational Cell Biology

Computational cell biology

All of us who do experiments and think about biology on a daily basis know that biological systems are exceedingly complex. Biologists have long avoided facing up to the interconnected nature of cellular processes by using reductionist approaches. This strategy has been spectacularly successful in identifying key factors for many fundamentally important biological processes. However, the tradit...

Computational imaging in cell biology

Microscopy of cells has changed dramatically since its early days in the mid-seventeenth century. Image analysis has concurrently evolved from measurements of hand drawings and still photographs to computational methods that (semi-) automatically quantify objects, distances, concentrations, and velocities of cells and subcellular structures. Today's imaging technologies generate a wealth of dat...

Computational cell biology: past, present and future

Computational Methods for Investigating Dendritic Cell Biology

Computational Biology & Bioinformatics) Computational Methods for Investigating Dendritic Cell Biology

Symposium on Computational Cell Biology Agenda

Biologists and bioinformaticists face the ever-increasing challenge of managing large datasets queried from diverse data sources. Computational biology needs to combine data from parallel disciplines such as genomics, proteomics, and metabolomics. Integrating experimental data such as microarray results with public databases, such as those hosted by the National Center for Biotechnology (NCBI) ...