Abstract:
Bioinformatics is the field of science in which
biology, computer science, and information technology merge to
form a single discipline. Bioinformatics deals with algorithms,
databases and information systems, web technologies, artificial
intelligence and soft computing, information and computation
theory, software engineering, data mining, image processing,
modelling and simulation, signal processing, discrete
mathematics, control and system theory, circuit theory, and
statistics, for generating new knowledge of biology and medicine,
and improving & discovering new models of computation (e.g.
DNA computing, neural computing, evolutionary computing,
immuno-computing, swarm-computing, cellular-computing). In
bioinformatics, a sequence alignment is a way of arranging the
sequences of DNA, RNA, or protein to identify regions of
similarity that may be a consequence of functional, structural, or
evolutionary relationships between the sequences. A large
number of algorithms are used in bioinformatics such as global
alignment, local alignment, multiple alignments etc. Global
alignments, which attempt to align every residue in every
sequence, are most useful when the sequences in the query set are
similar and of roughly equal size. We worked with the global
alignment algorithm with an improved and efficient manner. The
improved algorithm is too much accurate for aligning the
genome sequences with better computational time. And using
this improved way we also developed the multiple alignment,
phylogenetic tree and GC content of the sequences.
