For additional information visit http://www.cancerquest.org/joel-saltz-interview.
Dr. Joel Saltz is a Professor in the Departments of Pathology, Biostatistics and Bioinformatics, and Mathematics and Computer Science at
Emory University. Dr. Saltz's...
Frederick National Laboratory seeking an enthusiastic, creative, and seasoned bioinformatics professional to join our leadership team and direct the exceptional Bioinformatics Group at the Cancer Genomics Research Laboratory (CGR). CGR has a...
The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools...
Ongoing research in the group of Karine Van Doninck involves topics at the core of
evolutionary biology, including the evolution of sex, genome maintenance,
recombination and extreme stress resistance on different eukaryotic systems,
including...
Broad area of research:
Genome Annotation and Functional Genomics
Bergman Lab is actively engaged in the development and application of computational methods to improve the annotation of functional biological features in genome sequences....
We are pleased to announce a Postdoctoral Scholar position to study
bacterial evolution at the Pathogen and Microbiome Institute at
Northern Arizona University with Professor Paul Keim. The scholar
will have the opportunity also work with...
In our research, we combine computational methods with an experimental component in a unified effort to develop comprehensive descriptions of genetic systems of cellular controls, including those whose malfunctioning becomes the basis of genetic...
Research in our group focuses on the investigation of the signals involved in gene specification in genomic sequences (promoter elements, splice sites, translation initiation sites, etc…). We are interested both in the mechanism of their recognition...
The Pandey Lab at Johns Hopkins University is a Systems Biology lab that combines molecular biology, analytical chemistry and computational biology with various "Omics" technologies including genomics and proteomics to understand signaling pathways...