Bioinformatics

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Created By: ANKIT UPADHYAYA BIOINFORMATICS

BIOLOGICAL DATABASES: WHY? ,[object Object],[object Object],[object Object],02/26/11 14:28

DIFFERENT CLASSIFICATIONS OF DATABASES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],02/26/11 14:28

DIFFERENT CLASSIFICATIONS OF DATABASES…. ,[object Object],[object Object],[object Object],[object Object],02/26/11 14:28

DIFFERENT CLASSIFICATIONS OF DATABASES…. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],02/26/11 14:28

GENBANK (WEBSITE::HTTP://WWW.NCBI.NLM.NIH.GOV/GENBANK)

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DDBJ (WEBSITE::HTTP://WWW.DDBJ.NIG.AC.JP)

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An integrated publicly accessible bioinformatics resource to support genomic/proteomic research and scientific discovery. Established in 1984, by the National Biomedical Research Foundation (NBRF) Georgetown University Medial Center, Washington D.C., USA. It is the source of annotated protein databases and analysis tools for the researchers. Serve as primary resource for the exploration of protein information. Accessible by text search for entry and list retrieval, and also BLAST search and peptide match.

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The pressures of pharmaceutical research and development demand increasing efficiency from scientists. High-quality decisions must be made faster and encompass all available information. At the same time there is a growing desire to better utilize the multi-billion dollar research investment recorded in laboratory notebooks and bioassay databases. Key values for data integration in a data exploration environment include gathering data from disparate E-notebooks and bioassay databases into a single searchable “virtual” system and increased discoverability by accessing data through a system designed for exploration. Key benefits are better chemistry decisions through easier access to broader data and reduced time for preparing patent filings. The ability to interlink in-house and reported assay data with in-house and published chemistry provides a data-rich environment for developing insights and predictive models. We will discuss our experience with integrating information from journals, patents, bio-assay databases, and E-lab notebooks to address these needs.

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BIOLOGICAL DATABASES : A biological database is a large, organized body of persistent data, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system. The chief objective of the development of a database is to organize data in a set of structured records to enable easy retrieval of information. Example. A few popular databases are GenBank from NCBI (National Center for Biotechnology Information), SwissProt from the Swiss Institute of Bioinformatics and PIR from the Protein Information Resource. IMPORTANCE OF DATABASES : 1. Databases act as a store house of information. 2. Databases are used to store and organize data in such a way that information can be retrieved easily via a variety of search criteria. 3. It allows knowledge discovery, which refers to the identification of connections between pieces of information that were not known when the information was first entered. This facilitates the discovery of new biological insights from raw data. 4. Secondary databases have become the molecular biologist’s reference library over the past decade or so, providing a wealth of information on just about any gene or gene product that has been investigated by the research community. 5. It helps to solve cases where many users want to access the same entries of data. 6. Allows the indexing of data. 7. It helps to remove redundancy of data. TYPES OF BIOLOGICAL DATABASES: Biological databases are classified on 1. Based on content of biological data 2. Based on the nature of data. 1. BASED ON CONTENT OF BIOLOGICAL DATA : Based on their contents, biological databases can be roughly divided into two categories: 1. Primary databases 2. Secondary databases

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Bioinformatics

1. Created By: ANKIT UPADHYAYA BIOINFORMATICS

2. INTRODUCATION

3. WHAT IS BIOINFORMATICS??

5. AIM OF BIOINFORMATICS

7. USEFUL DATABASE ON BIOINFORMATICS

8. BIOLOGICAL DATABASES

10.

11.

12.

13.

14. NUCLEOTIDE SEQUENCE DATABASES

15. PROTEIN SEQUENCE DATABSES

16. STRUCTURAL DATABASES

17. GENBANK (WEBSITE::HTTP://WWW.NCBI.NLM.NIH.GOV/GENBANK)

18. EMBL (WEBSITE::HTTP://WWW.EBI.AC.UK/EMBL/)

19. DDBJ (WEBSITE::HTTP://WWW.DDBJ.NIG.AC.JP)

20. APPLICATION

21.

22.

23. DEFINITIONS

24.

Bioinformatics

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