Large-scale-single-cell methylome profiling is the current state-of-art for studies that require the DNA methylation profiles at base resolution in heterogenous tissues. Single cell DNA methylation profiling offers the advantage of obtaining uniform genome wide coverage at cellular resolution. snmC-seq2 is an improved version of snmC-seq that provides better throughput, library complexity, coverage uniformity, and read mapping. This method is being used routinely in various projects including the DARPA-funded ECHO and MBA projects and several NIH projects for identifying DNA methylation patterns and their effects in samples such as blood cells and the brain.
The Bioinformatics Analyst II will work closely with other members of the project and the Ecker laboratory to advance the computational approaches involved in data analysis of snmC-seq datasets. The analyst will contribute directly to research projects by implementing, optimizing and executing the currently available pipelines that include mapping, QC, visualization, and reporting. Finally, the analyst will play part in administrating shared computer resources, such as compute and storage servers.
This role requires constant adjusting focus, grasping, handling, hearing, keying, seeing, sitting, talking, touching, feeling, analyzing, calculating, communicating, reading, reasoning, writing and working inside.
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