Bioinformatics approaches to single-cell analysis in developmental biology

Bioinformatics approaches to single-cell analysis in developmental biology.

Individual cells within the same population show various degrees of heterogeneity, which may be better handled with single-cell analysis to address biological and clinical questions. Single-cell analysis is especially important in developmental biology as subtle spatial and temporal differences in cells have significant associations with cell fate decisions during differentiation and with the d...

Multidisciplinary approaches to understanding collective cell migration in developmental biology

Mathematical models are becoming increasingly integrated with experimental efforts in the study of biological systems. Collective cell migration in developmental biology is a particularly fruitful application area for the development of theoretical models to predict the behaviour of complex multicellular systems with many interacting parts. In this context, mathematical models provide a tool to...

Molecular Approaches to Developmental Biology

mechanisms of DNA repair, replication, and recombination (the "three R's") in both prokaryotes and eukaryotes. The book opens with a 13-page summary of the conference written by Nicholas Cozzarelli. Cozzarelli's expertise is evident as he discusses many of the exciting observations and comments upon their significance and possible implications. His summary is especially useful since it helps co...

Bioinformatics for evolutionary developmental biology

Developmental control of CFTR: from bioinformatics to novel therapeutic approaches.

Celebrating the 25th anniversary of identifying the genetic cause of cystic fibrosis (CF), tremendous progress has been made in the understanding and the treatment of this complex, but still fatal disease [1]. Despite advances, several key questions about the pathomechanisms of CF remain poorly understood. For instance, the precise genetic and epigenetic mechanisms that regulate expression and ...