Computational Statistics for the Identification of Transcriptional Gene Regulatory Interactions
نویسنده
چکیده
منابع مشابه
Computational Identification of Transcriptional Regulators in Human Endotoxemia
One of the great challenges in the post-genomic era is to decipher the underlying principles governing the dynamics of biological responses. As modulating gene expression levels is among the key regulatory responses of an organism to changes in its environment, identifying biologically relevant transcriptional regulators and their putative regulatory interactions with target genes is an essenti...
متن کاملDiscovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational Methods
MicroRNAs (miRs) are small single-stranded noncoding RNA that function in RNA silencing and post-transcriptional regulation of gene expression. An increasing number of studies have shown that miRs play an important role in tumorigenesis, and understanding the regulatory mechanism of miRs in this gene regulatory network will help elucidate the complex biological processes at play during malignan...
متن کاملRecent advances in computational promoter analysis in understanding the transcriptional regulatory network.
The computational approach to the study of transcriptional regulation networks has become more attractive and feasible with the rapid accumulation of complete genome sequences and the advance of high-throughput expression profiling technology. In this review, current computational approaches for understanding the transcriptional regulatory network, including promoter prediction, transcription f...
متن کاملTranscriptional Response of Structural and Regulatory Genes Involved in Isoprene Biosynthesis and its Relation to Essential Oil Biosynthesis in Response to Salicylic Acid and Abscisic Acid in Mentha piperita L.
Background: In peppermint, precursors for the biosynthesis of monoterpenes are provided by plastidial methyl-erythritol-phosphate (MEP) pathways. Objective: In order to increase our understanding of terpene metabolism in M. piperita, the effect of salicylic acid (SA) and abscisic acid (ABA) in the modulation of expression pattern of genes involved in essential oil biosynthesis and secretion wa...
متن کاملDynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010