Skip to main content

Information Retreival System: Implementation





NCBI provides an information retrieval system, Entrez, designed to provide user friendly access to biomedical data including structural, molecular, sequences and literature.  Entrez provides access and searching facilities to more than 30 databases of genome, health, structural, literature, sequence and chemical. It provides faecet, limited and advance searching option with Boolean operators to customize user’s query. It also facilitates querying with wild card characters, mapping and controlled vocabulary. Web implementation of Entrez has more valuable applications and benefits over Network Entrez as it facilitates searching with a tremendous amount of data in different databases. Entrez provides navigational links between different databases either provided by NCBI or external (journal/databases) for each record by using two types of relationships: neighbors and hard links. Both of these types of relationships have been found on the basis of controlled vocabulary and algorithms working behind Entrez.








Implementation






Irrespective of platform, NCBI retrieval system Entrez searches are executed with the help of one of two interfaces.



  • Network Entrez: This interface comprises of a client-server implementation. It is fastest and makes a direct association to NCBI ‘‘dispatcher.’’ Its user friendly graphical interface provides a series of different windows and every time whenever new information is demanded, a different window seems on user’s screen. For the reason that the client software exist in user’s machine, it depends on user to get, install, and continue the software, downloading updates as new properties are announced. It also comes with interactive and/or graphical viewers for three-dimensional structures and genome sequences.

    Most widely used application of Entrez is through World Wide Web (WWW). This choice use variety of existing Web browsers, such as Netscape, Internet Explorer, and Google Chrome to provide searching results to the user’s desktop. In an entry, Web offers hard links and neighboring associations defined, can be easily presented as hypertext, permitting to navigate through clicking on particular words.

    Using Web implementation of Entrez provides advantage over the Network version as it permits navigation to external data sources either a part of Entrez or part of external databases/journals. Another aspect is internet speed over Network version and in the presentation. Web Entrez provides results in the form of pagination whereas Network version provides a series of input and output windows for presentation. Both implementation method produces same results, however, Web Entrez can navigate user to external journals and databases.











 
Labels:

Comments

Post a Comment

Popular posts from this blog

Information Retreival Systems in Bioinformatics: Entrez

Currently many biological databases have been developed and became an important toolbox for every scientist in research and academic purpose. Searching a sequence homologue of either Protein, DNA or to know the novelty of a sequence, one needs to do a sequence search against available databases. Similarly, searching for Open Reading Frame, structure, functional, regulatory sequences and repeated elements, we also need to search our query against different available databases. As biological data is increasing with the passage of time, its tremendous growth requires a searching and access system to retrieve useful information. In biological data, three retrieval systems are widely used relevant to a scientific need, it includes: Entrez, Sequence Retrieval System also known as SRS and DBGET. These retrieval systems let its user a text search against multiple molecular databases and also provides useful relevant information in the forms of links either internal or external to our qu...
Post a Comment
Read more

Genetic algorithm and its applications in medicine

With the increase in biological and medical data it has become necessary for medical and bioinformaticians to have some automated approaches to identify different patterns it their data, so as to predict or have some useful information. Many applications have been described above for genetic algorithm, along with these applications GA has been applied in protein structure prediction, RNA structure prediction and Motif finding. Basic steps of GA are almost same in many applications but it requires expertise, parameters and involves a huge number of randomness and can provide different results in outcomes.      Applications of Genetic Algorithm in medicine Oncology Screening tests suggests a valuable chance cancer detection at early stages, which when keep an eye on by proper handling could recover the patient’s survival rate. Developing a non-invasive procedure for the detection of cervical cancer, Duraipandian et al, using colposcopy developed Raman spectra ...
Post a Comment
Read more