BIOINFORMATICS: ANALYSIS, STRUCTURE AND NETWORK
Commentary Article - (2021) Volume 10, Issue 3
HEMAYET HOSSAIN, Department of Biochemistry, Alumni La Trobe University,
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Bioinformatics is a multidisciplinary field that develops software tools to
understand biological data, especially where data sets are large and complex.
As a multidisciplinary science field, bioinformatics combines biology,
chemistry, physics, computer science, information engineering and mathematics
to analyze and interpret biological data. Bioinformatics was used
to analyze the silico of biological questions using mathematical techniques.
Bioinformatics incorporates biological studies using computer programs as
part of their work, as well as analyzing specific “pipelines” that are used
repeatedly, especially in the field of genomics. Often, such diagnoses are
performed with the intention of better understanding the underlying cause
of the disease, different habits, desirable structures, or differences between
individuals. In a less formal way, bioinformatics also attempts to understand
the principles of organization within the nucleic acid and protein sequences,
called proteomics. To study how normal cellular functions are adapted to
various disease conditions, biological data should be compiled to form a
complete picture of these functions. Therefore, the field of bioinformatics
has evolved to such an extent that the most stressful work now involves the
analysis and interpretation of different types of data. These include nucleotide
and amino acid sequences, protein domains, and protein structures.
The most important processes within bioinformatics and computational biology
include- development and implementation of computer programs that
allow for effective access, management and use of a wide variety of information.
Development of new algorithms and statistical measurements that
examine relationships between members of large data sets. What makes
it different from other methods, however, is its focus on developing and implementing
powerful computer techniques to achieve this goal. Bioinformatics
now integrates the creation and development of knowledge, algorithms,
arithmetic and mathematical techniques, and the theory of solving legal and practical problems arising from the management and analysis of biological
data. Evolutionary biology is the study of the origin and evolution of living
things, as well as their evolutionary process over time. Informatics has
helped evolutionary biologists by enabling researchers to track the evolution
of large numbers of species by modifying their DNA, rather than by using
the definitive taxonomy or biological analysis, to compare all genomes,
allowing the study of more complex evolutionary events , such as genetic
replication, horizontal gene transfer, and predictors of essential biological
factors, create complex statistical models to predict system outcome over
time, to track and share information on a growing number of species. The
essence of genome analysis is the establishment of interactions between
genes or other genomic genetic variants. It is these intergenomic maps
that make it possible to trace the evolutionary processes responsible for
the division of two genomes. At the highest level, the major chromosomal
segments are duplicated, isolated, flexible, altered, removed and inserted.
In cancer, affected genome cells are rearranged in complex or unexpected
ways. Major follow-up efforts are used to identify mutations of previously
unknown predisposition to a variety of cancer genes. Biologists continue
to develop specialized automation systems to control the volume of sequential
data generated, and to develop new algorithms and software to
compare sequencing results with a growing collection of human genetic
sequences and germline polymorphisms.
The authors are grateful to the journal editor and the anonymous reviewers
for their helpful comments and suggestions.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest for the research.
Department of Biochemistry, Alumni La Trobe University, Australia
Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.