The expression of many genes can be determined by measuring mRNA levels with multiple techniques including microarrays, expressed cDNA sequence tag (EST) sequencing, serial analysis of gene expression (SAGE) tag sequencing massively parallel signature sequencing (MPSS) or various applications of multiplexed in-situ hybridization. All of these techniques are extremely noise prone and or subject to bias in the biological measurement and a major research area in computational biology involves developing statistical tools to separate signal from noise in high-throughput gene expression studies. Such studies are often used to determine the genes implicated in a disorder: one might compare microarray data from cancerous epithelial cells to data from non-cancerous cells to determine the transcripts that are up-regulated and down-regulated in a particular population of cancer cells.
Search
Archives
-
▼
2011
(22)
-
▼
September
(22)
- Nucleic Acid
- Stranded DNA viruses
- Mitochondrial DNA Damage
- DNA TESTING
- DNA Damage and Mutation
- DNA repair Mechanisms
- Structure of a Telomerase RNA
- DNA and RNA
- Sequences in DNA
- Evolutionary Biology
- Computational Evolution in Biology
- Genes Computational evolutionary biology
- Gene Expression
- Protein Expression
- Analysis of regulation
- Genetic recombination is a process
- Genetic engineering
- Gene conversion is an event in DNA genetic recombi...
- Protein biosynthesis and its methods
- Protein and its importance
- Explanation of Genetic code
- Study of Proteomics and bioinformatics
-
▼
September
(22)