Analysis of complex biological systems by high-throughput genomic technologies

计算生物学与基因组学核心（CBGC）旨在通过高通量基因组技术（如下一代测序、单细胞测序和微阵列）对复杂生物系统的分析，推进NIA-IRP的衰老研究。CBGC主要为NIA的内部科学家及其合作者提供这些服务。此外，我们直接与其他NIH研究所以及校外社区的研究人员合作。在2020财年，我们完成了1458个样本的测序，并完成了218个RNA样本的微阵列杂交。

Computational Biology & Genomics Core (CBGC) aims to advance aging research in NIA-IRP through the analysis of complex biological systems by high-throughput genomic technologies such as Next Generation Sequencing, Single Cell Sequencing, and microarrays. CBGC provides these services primarily to NIA intramural scientists and their collaborators. In addition, we collaborate directly with investigators in other NIH institutes as well as the extramural community. In fiscal year 2020 we completed sequencing of 1458 samples and completed microarray hybridization of 218 RNA samples. The Computational Biology & Genomics Core (CBGC) provides advice on experimental design and sample preparation, quality control of samples, data analysis, data sharing, and training. Apart from the primary focus on genomic and transcriptomic research, CBGC is highly interested in applying Artificial Intelligence (AI) for image analysis and novel genomic data analysis algorithms. The core utilizes gene expression microarrays, Illumina and Oxford Nanopore sequencers and 10x Genomics single-cell analysis instruments to meet the needs of NIA IRP researchers. Moreover, CBGC maintains several high-performance computer systems and is involved in designing and maintaining NIA IRP cloud computing for use by all interested NIA IRP researchers.