Review of Bioinformatics Tools and Techniques to Accelerate Ovarian Cancer Research
Journal Title: International Journal of Bioinformatics and Intelligent Computing - Year 2022, Vol 1, Issue 1
Abstract
Since the history of humans there was no definitive cure for cancer. The rapid development in the field of bioinformatics has resulted in acceleration of advancement of cancer research. As computing and IT technology improves over time the use and importance of bioinformatics will also rise. The bulk of biological data created by biomedical researchers has increased over the years, and it has become difficult to store and analyze that data. Faster computer processors and advancement in quantum computing will solve the conventional problem of slow data processing and will make the use of bioinformatics even attractive for scientists and researchers across the globe. The success of potential drug candidates and vaccines were identified and credit goes to bioinformatics gene simulation sequencing, simulation and fast data processing. The results were development of a vaccine in record time all thanks to bioinformatics approaches. This paper explores the contribution that bioinformatics has been able to make in the field of ovarian cancer and how the use of DNA sequencing and simulation helped in developing targeted drugs such as PARP inhibitors. It also elucidates the impact bioinformatics can make in developing effective therapies in times to come. Genome sequencing has paved the way in understanding the disease, possible treatment options analyze mutations and further predict the drug target. In this review we will highlight different aspects of bioinformatics tools and techniques that have accelerated the ovarian cancer research.
Authors and Affiliations
Anam Beg, Rafat Parveen
Keywords
Related Articles
- EP ID EP724390
- DOI https://doi.org/10.61797/ijbic.v1i1.116
- Views 54
- Downloads 0
A Comparative Analysis of Application of Genetic Algorithm and Particle Swarm Optimization in Solving Traveling Tournament Problem (TTP)
Traveling Tournament Problem (TTP) has been a major area of research due to its huge application in developing smooth and healthy match schedules in a tournament. The primary objective of a similar problem is to minimize...
Cross-Project Fault Prediction using Artificial Intelligence
Software defect prediction project focuses on finding errors or flaws in software and aiming to improve accuracy which gives evolution batch with detectable results while adding to modern outcomes and advancement liabili...
Analysis for Molecular Distinction in the Chloroplast DNA Sequences of Gymnospora montana (Celastraceae) and Belanites aegyptiaca (Balanitaceae) from Semi-arid Area
Gymnospora montana (Celastraceae) and Belanites aegyptiaca (Balanitaceae) showed marked similarity in their cpDNA sequences. Therefore, its detail analysis of cpDNA sequences is performed for codon use bias and its ind...
The COVID-19 Omicron Wave in the Framework of a New Mathematical Modeling in Few European Countries and the Right Time for Lifting Restrictions
Objectives: The COVID-19 Omicron wave in Romania, Bulgaria and Germany is considered in retrospective till begin of March 2022. The aim is to describe both country specific features and common trends related the same und...
Review on DNA Cryptography
Cryptography is the science that secures data and communication over the network by applying mathematics and logic to design strong encryption methods. In the modern era of e-business and e-commerce the protection of con...