Gene Expression With Pheonotype Classification Using Data Mining Technique

With more and more biological information generated, the most pressing task of bioinformatics has become to analyze and interpret various types of data, including nucleotide and amino acid sequences, protein structures, gene expression profiling and so on. Proteins and nucleic acids are both called biological macromolecules, due to their large size compared to other molecules. Important efforts towards understanding life are made by studying the structure and function of biological macromolecules. The branch of biology concerned in this study is called molecular biology. Both proteins and nucleic acids are linear polymers of smaller molecules called monomers. The term sequence is used to refer to the order of monomers that constitute a macromolecule. A sequence can be represented as a string of different symbols, one for each monomer. There are twenty protein monomers called amino acids. There exist two nucleic acids, deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), composed by four different monomers called nucleotides. DNA is the genetic material of almost every living organism.