Monday, July 14, 2008

Pattern-recognition of HIV -1

National Conference on New Horizons in BIO-Technology.
Feb 8-9,2008
Heald at Swami Vivekanand Mahavidyalaya
Udgir, Dist. Latur-413517(M.S.)India
Abstract
There are two principle analytical approaches in Bioinformatics: i.e. Pattern-recognition and prediction of given sequences of nucleotide & protein, considerable progress has been made with Pattern-recognition methods because of the availability of reference databases of sequence patterns.
Bioinformatics is aimed at discovering knowledge from life sciences data with the aid of Information Technology, to find answers to unresolved problems in biology. One of the important discoveries of pattern recognition in Bioinformatics is that specific patterns of our genomes and proteomes are able to tell our characters and how prone we are for certain diseases. In the coming years, medical practitioners will be able to personalize our medication by just looking at this pattern
Pattern-recognition is the methods of scanning a nucleic acid or protein sequence for matches to short sequence patterns. These short patterns can be important indicators of some biological function. The presence of the matching pattern in the target nucleic acid or protein sequence is a signal of the same function for the target gene or protein sequence.
Pattern-recognition of HIV genes study is particularly important today because aligning nucleotide or amino acid sequences is very common procedure in HIV computational analysis. A making a proper and correct analysis of HIV datasets. Sequence alignments are essential for interpretations of drug resistance and data mining efforts, where correctly positioning nucleotides or amino acids of different strains with respect to each other in pivotal.

No comments: