High
throughput genome analyses in recent years find more and more examples of possible «horizontal gene transfers.»
Not exact matches
High
throughput genome sequencing and quantitative image
analysis provide evolution, metabolic, and interaction data to build community metabolome maps, taxa / gene networks, and spatial ecosystem models.
Based at the Wellcome Trust Sanger Institute, Magnus works on the scientific
analysis of high -
throughput genome sequencing data for MalariaGEN, primarily on pathogen projects.
A large variety of methods is used including genetic, molecular and cytogenetic techniques, fluorescence in situ hybridisation and DNA «combing», as well as high
throughput sequencing approaches such as DNA - seq for mutation landscape
analyses, RNA - seq for transcriptome
analyses and ChIP - seq mapping of chromatin - associated proteins and their
genome - wide modulation in response to DNA damages.
Interactions are derived by re-analyzing high - and low -
throughput experimental data, by mining biological databases and literature, and by genomic context
analysis of 373 fully sequenced
genomes.
The Ting laboratory has developed high -
throughput sequencing technologies and
genome - wide
analyses to characterize DNA methylation.
Recent advances in high -
throughput molecular and cellular profiling tools, particularly
genome - wide transcriptomic
analysis, offer the potential for unprecedented insights into the mechanisms underlying the acquisition of immunity.