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4 - Central Institute of Brackishwater Aquaculture

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Nat~onal Workshop-cum-Training on Biolnformatics and Information Management In <strong>Aquaculture</strong><br />

DATA GENERATION RESOURCES FOR BIOINFORMATICS<br />

1. Introduction<br />

The biological information that is being generated by research in modern biology<br />

worldwide is so huge that it is not possible to manage through conventional file<br />

keeping or simple computing. Secondly, analysis <strong>of</strong> these data certainly needs<br />

specific interfaces, s<strong>of</strong>tware and management facilities. Therefore, requirement<br />

to store, analyze and manage the biological information/data in an appropriate<br />

way has led to the origin <strong>of</strong> a new branch <strong>of</strong> science called "Bioinformatics".<br />

Here, emphasis will be given on the research disciplines that mostly generates<br />

such data. Broadly, they can be classified as follows.<br />

2. Genomics<br />

Genomics deals with structural and functional analysis <strong>of</strong> genes in the genome.<br />

Often it is described under two sub-disciplines namely structural and functional<br />

genomics. Human genome was being expected to contain about 20 000 - 30 000<br />

genes. The 15 years human genome project that got completed recently has<br />

elucidated that there are about 25000 genes. The objective <strong>of</strong> this project was to<br />

map and sequence all the genes in 23 pairs <strong>of</strong> chromosomes. The goals <strong>of</strong> the<br />

project have been divided into smaller tasks, one <strong>of</strong> which is to develop genetic<br />

linkage maps to establish markers on each <strong>of</strong> the 46 human chromosomes in<br />

order to work on smaller and more clearly defined sectors in the search for<br />

genes. A second task is to get a physical map <strong>of</strong> overlapping clones <strong>of</strong> large DNA<br />

fragments that will span all the chromosomes. The map with the highest<br />

resolution will show the location <strong>of</strong> genes or markers on the chromosomes as<br />

measured by the number <strong>of</strong> DNA bases between them. The ultimate goal is to<br />

get the entire DNA sequence <strong>of</strong> the human genome. The next challenge is to<br />

identify the functions <strong>of</strong> these genes.<br />

Now we can have access to individual genes with its structural details much<br />

faster than ever before. Soon we will have an accurate function <strong>of</strong> all the genes.<br />

Likewise, the genome sequences <strong>of</strong> more than fifty prokaryotic and eukaryotic<br />

organisms have been completed. As said earlier, the primary goal <strong>of</strong> a mapping<br />

program is to construct genetic linkage maps sufficient to identify either a<br />

disease gene or chromosomal segments that harbor quantitative trait loci (QTL)<br />

affecting traits <strong>of</strong> economic importance. The gene maps or genetic linkage maps<br />

<strong>of</strong> almost all the domestic animals and several model organisms have been<br />

completed. Further, comparison <strong>of</strong> this information with closely related phyletic<br />

groups builds the comparative genomics data. Ultimately, the information those<br />

are generated in the internet are in the form <strong>of</strong> database and they include<br />

enormous DNA sequence, genetic-, physical- and comparative maps and so on<br />

for bioinformatics application.<br />

1<br />

Comnpondence: P. Das, Scnlor Sclentist, <strong>Central</strong> <strong>Institute</strong> <strong>of</strong> Freshwater <strong>Aquaculture</strong>; Kausalyaganga. Bhubaneswar2;<br />

Emall pdas77Qhotmail.com

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