Momiao Xiong Author
Subjects of specialization
Affiliation
Statistics and Molecular Biology, Mathematical Theory of Neural Learning, Computational Biology, Genetics and Epigenetics
Division of Biostatistics, The University of Texas School of Public Health, Houston, TX 77030, USA
Momiao Xiong currently works at the Division of Biostatistics, University of Texas Health Science Center at Houston. His current project is Analysis of big genomic, epigenomic and imaging data'. He worked at Division of Biostatistics, The University of Texas School of Public Health, Houston, TX 77030,USA his current research works includes Statistics and molecular biology, Neural Learning.
Editorial Open Access
Author(s): Momiao Xiong
New Era for Biocomputing
Fast and cheaper Next Generation Sequencing (NGS) technologies will generate unprecedentedly massive (thousands or even ten thousands of individuals) and highly-dimensional (ten or even dozens of millions) genomic and epigenomic variation data that allow nearly complete evaluation of genomic and epigenomic variation including common and rare variants, insertion/deletion, CNVs, mRNA by sequencing (RNA-seq), microRNA by sequencing (mRNA-seq), methylation by sequencing (methylation-seq) and Chip-seq. Analysis of these extremely big and diverse types of data sets provide powerful tools to comprehensively understand the genome and epigenomes.
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