In social sciences and in sociology in particular, sequence methods are increasingly used to study life-course and career trajectories, time use, patterns of organizational and national development, conversation and interaction structure, and the problem of work/family synchrony. In marketing, sequence analysis is often used in analytical customer relationship management applications, such as NPTB models (Next Product to Buy). In molecular biology and genetics, the same process is called simply " sequencing". In chemistry, sequence analysis comprises techniques used to determine the sequence of a polymer formed of several monomers (see Sequence analysis of synthetic polymers). Identification of molecular structure from sequence alone.Revealing the evolution and genetic diversity of sequences and organisms.Identification of sequence differences and variations such as point mutations and single nucleotide polymorphism (SNP) in order to get the genetic marker.Identification of intrinsic features of the sequence such as active sites, post translational modification sites, gene-structures, reading frames, distributions of introns and exons and regulatory elements.The comparison of sequences in order to find similarity, often to infer if they are related ( homologous).Sequence analysis in molecular biology includes a very wide range of relevant topics: Nowadays, there are many tools and techniques that provide the sequence comparisons (sequence alignment) and analyze the alignment product to understand its biology. Thus, sequence analysis can be used to assign function to genes and proteins by the study of the similarities between the compared sequences. However, comparing these new sequences to those with known functions is a key way of understanding the biology of an organism from which the new sequence comes. Such a collection of sequences does not, by itself, increase the scientist's understanding of the biology of organisms. Since the development of methods of high-throughput production of gene and protein sequences, the rate of addition of new sequences to the databases increased very rapidly. Methodologies used include sequence alignment, searches against biological databases, and others. In bioinformatics, sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of a wide range of analytical methods to understand its features, function, structure, or evolution. The performance analysis of EST-PACHPC has shown that it provides substantial performance gain in EST annotation.Not to be confused with Sequential analysis. In this paper, we describe an EST annotator, EST-PACHPC, which has been developed for harnessing HPC resources potentially from Grid and Cloud systems for high throughput EST annotations. Furthermore, processing of EST data should be done efficiently using a high performance computing platform. Such kind of annotation typically consists of a series of repetitive tasks which should be automated, and be customizable and amenable to using distributed computing resources. EST annotation basically refers to the analysis of unknown ESTs that can be performed by database similarity search for possible identities and database search for functional prediction of translation products. They can provide significant functional, structural and evolutionary information and thus are a primary resource for gene discovery. Expressed Sequence Tags (ESTs) are short DNA sequences generated by sequencing the transcribed cDNAs coming from a gene expression.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |