2. INTRODUCTION
Bioinformatics concern the creation and
maintenance of databases of biological
information whereby researches can both
access existing information and submit new
entries.
3. AIM OF BIOINFORMATICS
The aims of bioinformatics are threefold.
Its simplest bioinformatics organizes data in a way that allow
researchers to access existing information and to submit new
entries as they are produced.
Aim is to develop tools and resources that help in the analysis
of data
Aim is to use these tools to analyze the data and interpret the
result in a biologically meaningful manner
4. BIOLOGICAL DATABASES
Bioinformatics represents new , growing area of science that
uses computational approaches to answer biological question.
Answering these questions requires that investigators take
advantage of large , complex data sets to reach valid , biological
conclusions.
The potential of such an approach is beginning to change the
fundamental way in which basic science is done ,helping to
more efficiently guide experimental design in the laboratory.
5. BIOLOGICAL DATABASES
Need for storing and communicating large
databases has grown.
Make biological data available to scientists.
To make biological data available in computer –
readable form.
6. NUCLEOTIDE SEQUENCE DATABASES
1) NCBI: National centre for Biotechnology
information
2) EBI: European Bioinformatics Institute.
3) DDBJ:DNA Data Bank Of Japan
7. PROTEIN SEQUENCE DATABASES
1) Swiss-prot and EMBL protein sequence database and
computer annotated supplement.
2) PIR: Protein Information Resource
3) MIPS: Munich Information centre for protein
sequences.
8. GENBANK
GenBank the Dna databases from National centre for
biotechnology Information an annotated collection of all
publicly available dna sequences.
There are many divisions in traditional GenBank divisions.
GenBank is part of international nucleotide sequences
database collaboration which comprises the dna databank of
japan and GenBank at NCBI.
9. Why Biological databases?
Data is submitted directly to biological databases for
indexing, organization, and data optimization.
They help researchers find relevant biological data by making
it available in a format that is readable on a computer and
understandable by them.
10. Because of high-performance computational platforms, these
databases have become important in providing the
infrastructure needed for biological research, from data
preparation to data extraction.
provides better integration of databases.
