Biography
Biography: Kathy Tzeng
Abstract
With the advent of Next Generation Sequencing (NGS) technologies that have significantly reduced the cost and time required to sequence human genomes, personalized healthcare is becoming a reality. Genomic information is increasingly an important determinant of clinical diagnosis and treatment. A bioinformatics challenge central to personalized healthcare is to identify the associations between genotypic and clinical observations, and to improve treatment outcomes by associating patients with known genomic specific treatments. Several analytics approaches and reference architecture to support high velocity software and large volume of unstructured data will be discussed
Recent Publications
1. Ogasawara T, Cheng Y, Tzeng TK (2016) Sam2Bam: High Performance Framework for NGS Data Preprocessing tools. PLOS ONE. https://doi.org/10.1371/journal.pone.0167100.
2. Sachdeva V, Kistler M, Tzeng TK (2010) Enabling Bioinformatics Algorithm on the CELL BE Processor. Chapter VII in Book “Scientific Computing with Multicore and Accelerators” CRC Press.
3. Sachdeva V, Kistler M, Speight E, Tzeng TK (2008) Exploring the viability of the Cell Broadband Engine for bioinformatics applications. Parallel Computing. 34(11): 616-626.
