Rani Vibha
Department of Biotechnology, Jaypee Institute of Information Technology University, A-10, Sector 62, Noida 210 307, India.
J Biosci. 2007 Dec;32(7):1325-30. doi: 10.1007/s12038-007-0142-9.
The formation of diverse cell types from an invariant set of genes is governed by biochemical and molecular processes that regulate gene activity. A complete understanding of the regulatory mechanisms of gene expression is the major function of genomics. Computational genomics is a rapidly emerging area for deciphering the regulation of metazoan genes as well as interpreting the results of high-throughput screening. The integration of computer science with biology has expedited molecular modelling and processing of large-scale data inputs such as microarrays, analysis of genomes, transcriptomes and proteomes. Many bioinformaticians have developed various algorithms for predicting transcriptional regulatory mechanisms from the sequence, gene expression and interaction data. This review contains compiled information of various computational methods adopted to dissect gene expression pathways.
由一组不变的基因形成多种细胞类型,这受调控基因活性的生化和分子过程支配。对基因表达调控机制的全面理解是基因组学的主要功能。计算基因组学是一个迅速兴起的领域,用于解读后生动物基因的调控以及解释高通量筛选的结果。计算机科学与生物学的结合加快了分子建模以及对大规模数据输入(如微阵列、基因组分析、转录组和蛋白质组)的处理。许多生物信息学家已开发出各种算法,用于从序列、基因表达和相互作用数据预测转录调控机制。本综述包含了为剖析基因表达途径而采用的各种计算方法的汇总信息。