Scientific and medical research papers are produced by the team of researchers and writers at Pubrica, and they may be invaluable sources for authors and practitioners. Pubrica medical writers help you create and modify the introduction by using the reader to alert them to the gaps in the selected study subject. Our experts know the sequence in which the topic where the hypothesis is given is followed by the broad subject, the issue, and the backdrop. https://pubrica.com/academy/systematic-review/an-analysis-of-recent-advancements-in-computational-biology-and-bioinformatics/

1. AN ANALYSIS OF RECENT ADVANCEMENTS IN
COMPUTATIONAL BIOLOGY
AND BIOINFORMATICS
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Pubrica
Group: www.pubrica.com
Email: sales@pubrica.com

2. TODAY'S DISCUSSION
IN-BRIEF
01
TEXT MINING
04
INTRODUCTION
02
CONCLUSION
05
SYSTEMATIC
REVIEW WRITING
03
ABOUT PUBRICA
06
page 02

3. IN-BRIEF
Bioinformatics refers to using information technology and computers to
huge molecular biology data sets.
Bioinformatics is expected to be a cutting-edge part of the
biotechnology sector that will aid medication development and
individualized medical treatments.
Artificial intelligence and computer science are strongly related to
microbiology and genetics in this subject.
A wide range of scientific topics were covered, with bioinformatics receiving
significant attention due to its rapid growth and growing necessity in
biological data processing, particularly for huge omics datasets.
page 03

4. INTRODUCTION
Computer biology and bioinformatics are multidisciplinary fields that
create and use computational methods to analyze massive quantities of
biological data, such as genetic sequences, cell populations, or protein
samples, to make predictions or find novel biology.
Analytical approaches, mathematical modelling, and simulation are the
computational methods employed.
page 04
contd...

5. In bioinformatics and computational biology, extracting intrinsic
meaningful knowledge from huge omics data remains a formidable task.
Deep learning, an emerging field of machine learning, has demonstrated
exceptional performance in various academic and industrial
applications.
We emphasize the differences and similarities in frequently used deep
learning models by addressing their basic architecture and examining
different uses and drawbacks. We anticipate that the study will be useful
in further developing its theory, method, and application in
bioinformatics and computational biology.
page 05

6. page 06
SYSTEMATIC REVIEW WRITING
Bioinformatics fosters opportunities for discoveries and offers avenues for biological investigations through
data analysis. To provide exact results, Research writing a systematic review on this topic relies heavily on
high-quality databases. However, most biological databases contain easily accessible errors, such as
incorrectly categorized data or insufficient information.
These errors might be serious. Recent data mining methods may use the filter data. However, these algorithms
occasionally cannot cure these errors, resulting in serious analytical issues. A solution to this challenge is
manual data curation and data extraction from books.
A database of mutation effects on protein-ligand affinities, for example, was created after a thorough review of
the literature. Nonetheless, the manual analysis may address the danger of bias.
contd...

7. page 07
Manual curation also allows for detecting errors and, where feasible, their correction.
As a result, systematic literature reviews were employed to gather data for bioinformatics analysis.
A systematic review is a strategy for discovering, estimating, and summarizing the state-of-the-art of a certain
topic in the literature. Systematic review writing helps in the constrained gathering of literature material,
allowing for a thorough methodological examination with less bias than typical reviews.
A systematic review aims to develop a comprehensive picture of a specific subject and provide a good
literature summary.
Following a pre-established and well-defined process while conducting systematic reviews is critical.

8. page 08

9. COMPUTING IN BIOINFORMATICS AND
COMPUTATIONAL BIOLOGY:
Bioinformatics and computational biology are emerging sciences that
have recently made conducting a systematic review wave in technology
sectors and the media.
They are two of the few disciplines that need a broad range of expertise,
from biology to computing.
Wikipedia defines bioinformatics as "applying techniques from applied
mathematics, informatics, statistics, computer science, chemistry, and
biochemistry to address biological issues, generally at the molecular
level."
page 09
contd...

10. page 10
Numerous articles and essays on the subject have been produced, but locating excellent ones is like hunting
for needles in a haystack.
This issue is addressed in Parallel Computing for Bioinformatics and Computational Biology, a meticulous
compilation of 29 articles and publications.
The articles were divided into five categories: Algorithms, Sequence Analysis, Phylogenetics, Protein folding,
and Technological platforms.

11. STRUCTURAL BIOINFORMATICS: MOLECULAR
FOLDING, MODELLING, AND DESIGN
One of the most common bioinformatics applications clinical trial
systematic review services is the identification of three-dimensional
structure, protein molecular modelling, and folding to forecast the
possible function of proteins or model the behaviour of molecules, and
other molecular structures, fold the molecule to its natural biologically
functional three-dimensional structure and assist in the development of
biomedical drugs for various complicated human diseases.
page 11

12. Bioinformatics is one of several scientific disciplines where the
principles of network topology have found extensive application.
As a result, large-scale biological networks, such as the biome,
interactome, and microbiome, have been created.
BIOLOGICAL NETWORKS AND
SYSTEM BIOLOGY
page 12

13. SOFTWARE, ANALYSIS TOOLS, SERVICES,
AND WORKFLOW
The primary force behind the current and future advancement of
bioinformatics tools and software is the advancement of genome
decoding technologies, which is necessary for their analyses, the
accumulation of large volumes of biological data, and the development
of computer technologies, including networking, visualization, graphics,
and molecular modelling.
page 13

14. TEXT MINING
The increasing volume of biomedical literature is being gathered,
constructed, and organized using computer algorithms and
bioinformatics tools.
This encourages scientists to query, mine, examine, and synthesize the
specific literature and published articles of their research interest.
page 14

15. CONCLUSION
Systematic literature reviews were done to gather information for
bioinformatics analysis. It is a method for determining, estimating, and
summarizing the current status of a certain literary topic.
In contrast to traditional reviews, systematic literature reviews allow for
the selective collection of literature material, enabling a rigorous
methodological analysis with less prejudice.
The objective is to understand a particular issue and provide a fair
assessment of the literature. As a result, adhering to a pre-established
and well-stated process while conducting systematic reviews is crucial.
page 15

16. ABOUT PUBRICA
Scientific and medical research papers are produced by the team of
researchers and writers at Pubrica, and they may be invaluable sources
for authors and practitioners.
Pubrica medical writers help you create and modify the introduction by
using the reader to alert them to the gaps in the selected study subject.
Our experts know the sequence in which the topic where the hypothesis
is given is followed by the broad subject, the issue, and the backdrop.
page 16

17. REFERENCES
1. Fu, Yuanyuan, et al. "Current trend and development in bioinformatics
research." BMC Bioinformatics 21.9 (2020): 1-3.
2. Zomaya, A. Y. (2005). Parallel computing for bioinformatics and
computational biology. Wiley.
3. Vega-Rodríguez MA, Rubio-Largo Á. Parallelism in computational
biology: A view from diverse high-performance computing applications. The
International Journal of High Performance Computing Applications.
2018;32(3):317-320. doi:10.1177/1094342016677599
page 17

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