Application of Functional Genomics in Cancer Research

Running head: GENOMICS
Genomics
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GENOMICS 2
A literature review on the application of functional genomics in cancer research
Background of functional genomics.
Functional genomics refers to a branch of technology which involve cell biology and molecular
biology studies. It integrates the whole structure, purpose and control of gene. In biological
setting the goal of functional genomics is to compare the genotype and the phenotype on the
level of the genome. These levels may comprise of protein to protein interaction, transcription,
epigenetic regulation and translation. During the comparison, the process begin with thorough
analysis of the genes to elaborate the gene’s functional roles and the volume of protein in the
gene. For instance, one process can detect that a human genome consist of more than 3000
million nucleotide bases. The chromosome size can range between 50 to 250Mb. Consequently,
in the recent years the scientists have come up that elaborate every sequence of the genome.
Besides that, Hulton et al., (2019) argued that the technology is able to analyze and express the
lines of the cancer cells. The advantage of the technology is that it ease the recognition of every
molecules in the human cell. However, functional genomics screening assist to achieve every
step of the process. In this assignment it will provide a comprehensive literature review on the
application of functional genomics in identification of the cancer cells.
Keywords
Anticancer therapy, functional genomics.
Analysis
Functional genomics have provided a remarkable assistance in the screening of cancer biology.
However, Goldman et al., (2017) said that the process is made possible by use of various
technologies in the field. In the recent years, the scientific studies have proved that the

GENOMICS 3
identification of the molecular features have assisted doctor in understanding the procedure of
diagnosing cancer, cancer itself and the prescriptions for patients suffering from cancer. In early
1850s, Hong, Cowley et al., (2016) stated that scientists described hematologic malignancies as
the improper growth of the white blood cells. However, as the years progressed hematologic
malignancies was grouped into four different categories. Currently, even the World Health
Organization identifies more than 150 hematologic malignancies. Many diagnosis that were
being done in the early years mainly revolved around histology, cell patterns and other genetic
parameters. Luckily et al., (2016) said that in the recent years the scientist have experienced
increase in the types of cancer based on the genetic information they have developed. All these
new innovations are coming into place because of the technological revolution that is going on
around the world. The new ideas have generated the idea on how genetic abnormalities occur
thus leading to the development of cancer. The idea suggest that in the coming years, Rose et al,
(2018) stated that there will an easier way of diagnosing and screening of the cancer cells. The
diagnosis that aim at genetics that cause cancer abnormalities are well defined in these years.
However, the process of getting the real issue needs involvement of the genome data together
with the functional information relating to sensivity of drug patterns to the cancer cells.
Integration of data is one of the main reason of applying functional genomics in diagnosing
cancer.
The deep sequencing technology have brought a new image in the field of biological research.
The technology have seen the area of clinical medicine having several breakthroughs, for
instance, the genomic analysis aims at the concept of personalized medical analysis. Even though
functional genomics is a very great and powerful idea the setback is that the implementation of
the process is held back inadequate understanding of most pharmacological genetic related