Bioinformatics Algorithm Articles & Analysis: Older
4 articles found
This technology identifies the diversity and specificity of T cells by measuring the sequences of the rearrangement regions of the TCRβ chain or α chain genes.(1) Sample Preparation: Total RNA or DNA is extracted from blood, tissue, or other samples enriched with immune cells.(2) Amplification: PCR amplification is performed using specific primers for multiple regions of the TCR genes, increasing ...
Analyzing the vast amount of data generated from glycan array experiments requires sophisticated computational tools and bioinformatics approaches. Researchers are developing algorithms and databases to aid in the interpretation and integration of glycan array data, facilitating the discovery of new glycan-protein interactions and their functional significance. ...
The appropriate bioinformatics approach depends on the sample preparation method and the type of sequencing platform. HLA genotyping bioinformatics solutions are designed to provide reliable, accurate and reproducible results to infer the precise variation in HLAs and to understand the relationship between HLA polymorphisms and the etiopathogenesis of diseases. ...
Genetic algorithms (GA) are adaptive search procedures that try to produce a globally optimum solution for problems of huge search space. This paper speaks about a variant of the standard genetic algorithm (SGA) called nomadic genetic algorithm (NGA) which is based on the concept of 'birds of the same feather flock together'. ...