Strategies for Clustering, Classifying, Integrating, Standardizing and Visualizing Microarray Gene Expression Data

摘要: Over the last century, investigation of anatomical and morphological characteristics a small number organisms has played an important role in understanding numerous biological processes. The rediscovery Mendel’s laws heredity opening 20th century initiated scientific quest to understand mechanisms how genetic information is transmitted consequences variation. With emergence molecular biology thirty years, classical research shifted from visible traits are study genome structure at level. Innovations such as PCR advances robotics miniaturization parallelization have lead rapid development more accurate, sensitive powerful devices used for analysis structure, function interaction gene products. ultrahigh throughput screening tools drive 96-microwell plates 384- 1536-microwell plates, it expected that generation whole sequences different will increase rate ~100 times higher than previously anticipated (HeadGordon Wooley, 2001; Helfrich, 2002; Beson et al. 2002). As powerful, automated sampling analytical becoming available laboratories, exponential sometimes overwhelming accumulation multi-format post-genomic datasets produced. Consequently, modern data driven multidisciplinary science which biologists, mathematicians, statisticians, physicists computer scientists developing identify ‘in silico’ coding regions genes, predict model protein structural characteristics, define protein-protein interactions, construct biochemical networks potential drug targets.