The purpose of the Bioinformatics Core (Core B) is to provide statistical and bioinformatics analysis of various high-throughput genomics data, primarily from sequencing applications such as ChlP-seq, RNA-seq, Hi-C, ChlA-PET, 4C-seq and replication timing experiments. Each of the three Projects utilize next generation sequencing technologies (NGS) to address questions relating to cell cycle control, chromosome architecture and cell fate decisions in pluripotent stem cells. Our core will provide comprehensive data analysis service to investigators of this Program Project. The PI and supporting staff of this Core have extensive experience in the analysis of high-throughput genomics data, especially NGS data. In addition to basic data analyses, we will work closely with investigators from the three Projects to identify emerging problems that are not addressed sufficiently by existing methods and software. This will involve the development of improved probability models, computer algorithms and analytical strategies to improve data analysis.
The proposed work is relevant to public health because the Core will support research projects that aim to understand the cytological correlation between chromosome structure and the pathogenesis of human diseases. Research devoted to understand the role of chromosome structure in gene regulation also helps the design of strategies for gene therapy.
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|Rivera-Mulia, Juan Carlos; Gilbert, David M (2016) Replication timing and transcriptional control: beyond cause and effect-part III. Curr Opin Cell Biol 40:168-78|
|Avery, John; Dalton, Stephen (2016) Methods for Derivation of Multipotent Neural Crest Cells Derived from Human Pluripotent Stem Cells. Methods Mol Biol 1341:197-208|
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|Soufi, Abdenour; Dalton, Stephen (2016) Cycling through developmental decisions: how cell cycle dynamics control pluripotency, differentiation and reprogramming. Development 143:4301-4311|
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