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Bioinformatics Applications: Genomics, Proteomics and Transcrptiomics
Bioinformatics and Phenomics

Phenomics is the study of the nature of phenotypes and how they are determined, particularly when studied in relation to the set of all genes (genomics) or all proteins (proteomics). Just as the genome and proteome signify all of an organism's genes and proteins, the phenome represents the sum total of its phenotypic traits. Bioinformatics, as in any other field, helps analyze, structure and organize data.

One successful attempt to integrate the constantly growing and scattered phenotypic data is the PhenomicDB (

It's a free multi-organism phenotype-genotype database unifying a variety of primary sources to make phenotypic data from a wide range of species and model organisms simultaneously searchable, visible and comparable. Reported genotype-phenotype relationships are supported by literature evidence, reference links and citations. Each genotype, as well as each phenotype is characterized by varied descriptions allowing more detailed facts exploration.
The phenotypic data clusters mapped to each entry could help further analyze similar phenotypes/diseases caused by different genes or mutations. The gene orthology information appended to each entry could help suggest a known phenotype/disease to a new or orphan genotype/mutation and thus predict a new unreported phenotypic manifestation.
Bioinformatics is the use of IT in biotechnology for the data storage,data warehousing and analyzing DNA sequence.Basically,Bioinformatics tool can be used for three purposes.

1) Protein sequence can be determined by DNA sequencing.
2) Knowledge of protein sequencing is required,if we want to determine protein structure.
3) A protein structure enables the determination of protein function.

Application of Bioinformatics in molecular medicine:
Pharmacogenomics is a branch of bioinformatics,has enabled to develop more effective clinical medicine.There are some advanced drug in the market but they have failed due to their adverse effect in patient because difference of DNA sequence in different patient. As Pharmagenomics is making advances in the science world,it will be possible for the scientist to prescribe drugs after observing genetic profile of an individual.
Bioinformatics plays an essential role in today's plant science. As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
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