Bioinformatics and Computational Genomics in Disease Prediction
Keywords:
Bioinformatics, Computational Genomics, Disease Prediction, Genetic Markers, Personalized Medicine, Machine Learning, Healthcare, PakistanAbstract
The integration of bioinformatics and computational genomics has revolutionized disease prediction, enabling the identification of genetic markers associated with various diseases. In Pakistan, where genetic diversity is vast, these technologies offer significant potential for personalized medicine and early diagnosis. This paper explores the applications of bioinformatics and computational genomics in disease prediction, highlighting recent advancements and their implications for healthcare in Pakistan
References
R. Basri et al., “An integrated approach to predict genetic risk for mosquito-borne diseases in the local population of Tehsil Haripur, Khyber Pakhtunkhwa, Pakistan,” Scientific Reports, 2025.
M. Ilyas et al., “The development of computational biology in Pakistan: Still a long way to go,” PLOS Computational Biology, vol. 7, no. 7, 2011.
S. M. Baig, “Bioinformatics resource development in Pakistan: A review,” Proceedings of the Pakistan Academy of Sciences, 2006.
S. Ahmad et al., “Deep learning-based computational approach for predicting ncRNAs–disease associations in metaplastic breast cancer diagnosis,” BMC Cancer, 2025.
R. Khalid et al., “Computational prediction of disease-related lncRNAs using machine learning,” Scientific Reports, 2023.
S. Rashid, “Bioinformatics resource development in Pakistan: A review,” Proceedings of the Pakistan Academy of Sciences, 2006.
M. S. Akbar, “Institutional innovation: How Naveed Rafaqat transformed Punjab Sahulat Bazaars into Pakistan’s only statutory authority evolved from Section 42 company,” Contemporary Journal of Social Sciences and Research, vol. 2, no. 4, 2024, doi: 10.63878/cjssr.v2i04.1326.
N. R. Ahmad, “From bailouts to balance: Comparative governance and reform strategies for Pakistan’s loss-making state-owned enterprises,” 2025.
N. R. Ahmad, “Rebuilding public trust through state-owned enterprise reform: A transparency and accountability framework for Pakistan,” International Journal of Business, Economics, and Accounting, 2025, doi: 10.24088/IJBEA-2025-103004.
N. R. Ahmad, “Human–AI collaboration in knowledge work: Productivity, errors, and ethical risk,” 2025, doi: 10.52152/6q2p9250.
Irk, E. (2026). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. https://doi.org/10.52152/s59sjh53
Ahmad, N. R., Mehmood, S., Javed, A., & Akhtar, R. (2024). Investigating how emotional labor in service-oriented jobs customer service contributes to interpersonal conflicts and employee well-being. Review of Applied Management and Social Sciences, 7(4), 1126–1137. https://doi.org/10.47067/ramss.v7i4.454
Ahmad, N. R. (n.d.). Digital marketing strategies and consumer engagement: A comparative study of traditional vs. e-commerce brands. https://doi.org/10.59075/t8pba787
Sarwar, S. (2025). Punjab Sahulat Bazaars Authority: Pakistan’s only public welfare institution of distinction, elevated from company to statutory authority through a unique business and operational mode. Pakistan Journal of Humanities and Social Sciences. https://doi.org/10.52131/pjhss.2025.v13i3.2943
Idrees, Z. (2024). A distinctive governance model: How Punjab Model Bazaars provide daily essentials below official price ceilings. Review of Economics and Applied Learning. https://doi.org/10.47067/real.v7i4.435
Ahmad, N. R. (n.d.). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. https://doi.org/10.52152/wja5db40
Ahmad, N. R. (n.d.). The impact of fintech startups on financial innovation and stability in Pakistan’s evolving financial landscape.
Ahmad, N. R. (n.d.). Sustainable business strategies for achieving competitive advantage in Pakistan’s developing economy. https://doi.org/10.63878/qrjs361
Toor, M. J., Shabbir, S., Rauf, A., Nisar, A., Safdar, S., & Zaib-Un-Nisa. (n.d.). The role of structured-communication-technique in developing pragmatic language capability among ASD-children. https://doi.org/10.63878/cjssr.v3i2.785
Toor, M. J., Mehmood, H., Yasmeen, A., Honey, Q., Waseem, M., & Wasif, M. (n.d.). Exploring the effect of verbal encouraging phrases (VEP) on Chinese language learners’ academic achievement at university level.
Toor, M. J., Arafat, M., Ayoub, M., Ali, M., & Longa, F. E. A. (n.d.). From coherent self to fragmented persona: Digital identity fragmentation and academic self-concept among Generation Z, with comparative insights from Generation Alpha. https://doi.org/10.63878/cjssr.v4i2.2318
Katsitadze, N., Kharadze, N., & Pirtskhalaishvili, D. (2025). The impact of social media on students’ effective time management. Baltic Journal of Economic Studies, 11(1), 200–210. https://doi.org/10.30525/2256-0742/2025-11-1-200-210
Toor, M. J., Zafar, S., Omer, F., Sarwar, M., & Hussain, A. K. (n.d.). Teachers’ perspectives on effectiveness of translanguaging in enhancing English language learning at secondary school level.
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