A5002822441- RNA and protein synthesis mechanisms
- Cancer Genomics and Diagnostics
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Sarcoma Diagnosis and Treatment
- Parallel Computing and Optimization Techniques
University of California, Los Angeles
2023-2024
APLA Health
2023
Abstract Motivation The volume of biomedical data generated each year is growing exponentially as high-throughput molecular, imaging and mHealth technologies expand. This rise in has contributed to an increasing reliance on demand for computational methods, consequently increased attention software quality integrity. Results To simplify verification diverse data-processing pipelines, we created PipeVal, a light-weight, easy-to-use, extensible tool file validation. It open-source, easy...
DNA sequencing continues to get cheaper and faster. In parallel, algorithmic innovations have allowed inference of a wide range nuclear, mitochondrial, somatic evolutionary from data. To make automated, high-quality more readily available, we created an extensible Nextflow meta-pipeline called metapipeline-DNA. Metapipeline-DNA supports processing raw reads through alignment, variant detection, quality control subclonal reconstruction. Each step quality-control, data-visualization multiple...
Abstract Sarcoma is a cancer which originates in the body's connective tissues of mesenchymal origin. These are like bones and muscles that support or protect other parts body. About ~16,000 sarcomas diagnosed annually US, with ~6,700 deaths attributed to disease. Sarcomas typically divided into two major groups: bone soft-tissue sarcomas, each has multiple subtypes. However, because their diversity site-of-origin, vary greatly presentation histological features. Based on The World Health...