Mathematical & Algorithmic Analysis of Natural and Artificial DNA Sequences

EIA-218568 Bhubaneswar Mishra New约克大学天然和人工DNA序列的数学和生物学分析PI正在开发工具，这些工具在理解天然和人工基因组的特性方面发挥重要作用，从而阐明这些DNA在天然和人工条件下（体外或体内）如何进化。最终的应用范围从构建容错生物计算机一直到理解基因组结构（例如，基因、基因家族、同线性组、单倍型块、染色体等）为了实现这一目标，PI正在开发几种建模和统计算法，以解决基因组学、生物传感器、生物计算和进化生物学中的设计问题。最终的“工具箱”设计包含：一个软件环境和语言，允许用户可视化和分析长DNA或RNA分子，一个“基因语法”，以模拟各种基因组范围的进化过程，统计分析各种自然基因组DNA的结构，在复制和校对过程中进化，最后，基因组的物理注释，可用于设计生物传感器的基因组微阵列或适体。

EIA-218568Bhubaneswar MishraNew York UniversityMathematical and Algorithmic Analysis of Natural and Artificial DNA SequencesThe PI is developing tools that play an important role in understanding the properties of both natural and artificial genomes and thus, elucidates how such DNA evolves under natural and artificial conditions (in vitro or in vivo). The ultimate applications range from building error-resilient biological computers all the way up to understanding how genome structures (e.g., genes, gene families, synteny groups, haplotype blocks, chromosomes, etc.) have naturally evolved.With this goal in mind, the PI is developing several modeling and statistical algorithms with efficient implementations in order to solve design problems in genomics, biosensors, biocomputation and evolutionary biology. The final "tool box'' design contains: a software environment and language that allows users to visualize and analyze long DNA or RNA molecules, a "gene grammar" to model various genome-wide evolutionary processes, statistical analysis of the structures of various natural genomic DNAs evolving under replication and proof-reading processes and finally, a physical annotation of the genome that can be used in designing genomic microarrays or aptamers for biosensors.