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Journal articles on the topic 'Genomic data security'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Vavekanand, Raja. "Data Security and Privacy in Genomics Research: A Comparative Analysis to Protect Confidentiality." Studies in Medical and Health Sciences 1, no. 1 (2024): 23–31. http://dx.doi.org/10.48185/smhs.v1i1.1158.

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The quick progress of genomics examination has driven a surge in the creation of significantly fragile genomic data, making ensuring its security essential. This data contains sensitive information roughly an individual's prosperity, family history, and defencelessness to ailments. Unauthorized access or mishandling can lead to isolation, stigmatization, and mystery breaches. The potential threats to genomic data affirmation are multifaceted, checking the chance of re-identification and extended defense lessness to data breaches, hacking events, and unauthorized get to by harmful actors. To ad

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Smith, Marcus, and Ausma Bernot. "Government and Commercial Interests in Genomics: Improving Data Security and Regulation." Law, Technology and Humans 6, no. 1 (2024): 88–100. http://dx.doi.org/10.5204/lthj.3256.

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The relationship between new technologies and security is well established in the fields of defence, law enforcement, communications and public health. This has been highlighted by recent public debate about the security implications of data held by companies operating in social media and information technology (such as TikTok and Huawei). While genomic technology had been less high profile in the context of security, this changed following the COVID-19 pandemic, which focused attention on the significant implications of this form of data. This article discusses commercial genomic technology,

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Mohammed Yakubu, Abukari, and Yi-Ping Phoebe Chen. "Ensuring privacy and security of genomic data and functionalities." Briefings in Bioinformatics 21, no. 2 (2019): 511–26. http://dx.doi.org/10.1093/bib/bbz013.

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Abstract In recent times, the reduced cost of DNA sequencing has resulted in a plethora of genomic data that is being used to advance biomedical research and improve clinical procedures and healthcare delivery. These advances are revolutionizing areas in genome-wide association studies (GWASs), diagnostic testing, personalized medicine and drug discovery. This, however, comes with security and privacy challenges as the human genome is sensitive in nature and uniquely identifies an individual. In this article, we discuss the genome privacy problem and review relevant privacy attacks, classified

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P., Shobha, and Nalini N. "Genomic Data Fusion using Paillier Cryptosystem." Journal of Current Science and Technology 14, no. 3 (2024): 57. http://dx.doi.org/10.59796/jcst.v14n3.2024.57.

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The proposed work performs secure data fusion using homomorphic encryption, specifically the Paillier cryptosystem. The Paillier cryptosystem allows computation to be performed on encrypted data without decrypting it first, thus ensuring the privacy and security of the computation. The experiment measures the algorithm's performance based on execution time, memory usage, security, accuracy, and scalability. The data-level Paillier cryptosystem approach is generally slower than the feature-level fusion method due to its more complex operations and computations. Scalability is limited by the tim

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Villanueva, Angela G., Robert Cook-Deegan, Jill O. Robinson, Amy L. McGuire, and Mary A. Majumder. "Genomic Data-Sharing Practices." Journal of Law, Medicine & Ethics 47, no. 1 (2019): 31–40. http://dx.doi.org/10.1177/1073110519840482.

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Making data broadly accessible is essential to creating a medical information commons (MIC). Transparency about data-sharing practices can cultivate trust among prospective and existing MIC participants. We present an analysis of 34 initiatives sharing DNA-derived data based on public information. We describe data-sharing practices captured, including practices related to consent, privacy and security, data access, oversight, and participant engagement. Our results reveal that data-sharing initiatives have some distance to go in achieving transparency.

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Prodduturi, Viswaketan Reddy. "GENOMIC DATA SECURITY AND PRIVACY IN HEALTHCARE INFORMATICS." INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY 8, no. 1 (2025): 563–73. https://doi.org/10.34218/ijrcait_08_01_044.

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Yeh, Kenneth, Jeanne Fair, Helen Cui, et al. "Achieving Health Security and Threat Reduction through Sharing Sequence Data." Tropical Medicine and Infectious Disease 4, no. 2 (2019): 78. http://dx.doi.org/10.3390/tropicalmed4020078.

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With the rapid development and broad applications of next-generation sequencing platforms and bioinformatic analytical tools, genomics has become a popular area for biosurveillance and international scientific collaboration. Governments from countries including the United States (US), Canada, Germany, and the United Kingdom have leveraged these advancements to support international cooperative programs that aim to reduce biological threats and build scientific capacity worldwide. A recent conference panel addressed the impacts of the enhancement of genomic sequencing capabilities through three

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Venkata, Murali Krishna Neursu, Kilaru Kalyan, and Reddy Vatti Vineeth. "Genomic Data Engineering: AI-Enhanced Storage, Processing, and Analysis for Biotechnology Innovations." Global Journal of Engineering and Technology [GJET] 4, no. 2 (2025): 10–12. https://doi.org/10.5281/zenodo.14964119.

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<em>The field of genomic data engineering has been revolutionized by artificial intelligence (AI), enabling efficient storage, processing, and analysis of massive biological datasets. AI-driven techniques enhance the accuracy of genome sequencing, accelerate biomedical research, and facilitate personalized medicine. However, managing and processing genomic data presents challenges related to computational complexity, data security, and scalability. This research explores AI-based methods for optimizing genomic data storage, processing pipelines, and predictive analytics. The study highlights t

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Ammar, Alzaydi, Abedalrhman Kahtan, Nurhaliza Siti, and Ismail Mohd. "Enhancing Cyber Defense Mechanisms for Genomic Data in Personalized Healthcare Systems." Applied Science and Biotechnology Journal for Advanced Research 3, no. 5 (2024): 20–30. https://doi.org/10.5281/zenodo.13852606.

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In the era of personalized medicine, genomic data emerges as a cornerstone for tailored healthcare solutions, offering unprecedented opportunities for disease prediction and prevention. However, this sensitive data is increasingly vulnerable to cyber threats that compromise patient privacy and system integrity. Addressing this critical issue, our research introduces a novel cybersecurity framework specifically designed to protect genomic information within healthcare systems. We develop and implement advanced cryptographic methods, real-time intrusion detection systems, and secure data sharing

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Gudodagi, Raveendra, and R. Venkata Siva Reddy. "Security Provisioning and Compression of Diverse Genomic Data based on Advanced Encryption Standard (AES) Algorithm." International Journal of Biology and Biomedical Engineering 15 (May 14, 2021): 104–12. http://dx.doi.org/10.46300/91011.2021.15.14.

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Compression of genomic data has gained enormous momentum in recent years because of advances in technology, exponentially growing health concerns, and government funding for research. Such advances have driven us to personalize public health and medical care. These pose a considerable challenge for ubiquitous computing in data storage. One of the main issues faced by genomic laboratories is the 'cost of storage' due to the large data file of the human genome (ranging from 30 GB to 200 GB). Data preservation is a set of actions meant to protect data from unauthorized access or changes. There ar

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Chaudhary, Neeraj, Romesh Kumar Salgotra, and Bhagirath Singh Chauhan. "Genetic Enhancement of Cereals Using Genomic Resources for Nutritional Food Security." Genes 14, no. 9 (2023): 1770. http://dx.doi.org/10.3390/genes14091770.

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Advances in genomics resources have facilitated the evolution of cereal crops with enhanced yield, improved nutritional values, and heightened resistance to various biotic and abiotic stresses. Genomic approaches present a promising avenue for the development of high-yielding varieties, thereby ensuring food and nutritional security. Significant improvements have been made within the omics domain, specifically in genomics, transcriptomics, and proteomics. The advent of Next-Generation Sequencing (NGS) techniques has yielded an immense volume of data, accompanied by substantial progress in bioi

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Wu, Gaotian, and Tianxiang Wan. "Leveraging Genomic Data for Infectious Disease Surveillance and Personalized Medicine: Advances in Public Health Genomics and COVID-19 Pathway Analysis." Theoretical and Natural Science 68, no. 1 (2024): 9–15. https://doi.org/10.54254/2753-8818/2025.18030.

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In public health, the arrival of genomic data greatly enhanced infectious disease surveillance, personalised medicine and the global response to pandemics. This Review examines how genomic sequencing became a vital tool for identifying pathogens, tracking virus evolution, and tracing transmission chains, with case studies on COVID-19 variants such as Delta and Omicron. Genomic sequencing has also led to breakthroughs in personalised medicine and pharmacogenomics, whereby drug efficacy and adverse reactions are optimised for individual patients. Genomic surveillance is now a critical tool for d

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ASHISH, G. VALA, TOMAR RUKAMSINGH, J. RATHOD PANKAJ, and RAJIVKUMAR. "Genomics Approaches for Enhancing Abiotic Stress Tolerance in Groundnut: A Pathway to Crop Improvement." International Journal of Innovative Science and Research Technology 8, no. 5 (2023): 1661–63. https://doi.org/10.5281/zenodo.7992784.

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Genomics approaches have revolutionized crop improvement by providing insights into the genetic basis of abiotic stress tolerance in groundnut (Arachis hypogaea L.). Abiotic stresses such as drought, heat, salinity, and nutrient deficiencies pose significant challenges to groundnut production and global food security. This review highlights the key genomics approaches employed in groundnut research to enhance abiotic stress tolerance. Transcriptomics, including RNA sequencing (RNA-Seq), has enabled the identification of stress-responsive genes and regulatory networks. Marker-assisted selection

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Kim, Kyung Do, Yuna Kang, and Changsoo Kim. "Application of Genomic Big Data in Plant Breeding: Past, Present, and Future." Plants 9, no. 11 (2020): 1454. http://dx.doi.org/10.3390/plants9111454.

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Plant breeding has a long history of developing new varieties that have ensured the food security of the human population. During this long journey together with humanity, plant breeders have successfully integrated the latest innovations in science and technologies to accelerate the increase in crop production and quality. For the past two decades, since the completion of human genome sequencing, genomic tools and sequencing technologies have advanced remarkably, and adopting these innovations has enabled us to cost down and/or speed up the plant breeding process. Currently, with the growing

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Blanton, Marina, and Fattaneh Bayatbabolghani. "Efficient Server-Aided Secure Two-Party Function Evaluation with Applications to Genomic Computation." Proceedings on Privacy Enhancing Technologies 2016, no. 4 (2016): 144–64. http://dx.doi.org/10.1515/popets-2016-0033.

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AbstractComputation based on genomic data is becoming increasingly popular today, be it for medical or other purposes. Non-medical uses of genomic data in a computation often take place in a server-mediated setting where the server offers the ability for joint genomic testing between the users. Undeniably, genomic data is highly sensitive, which in contrast to other biometry types, discloses a plethora of information not only about the data owner, but also about his or her relatives. Thus, there is an urgent need to protect genomic data. This is particularly true when the data is used in compu

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McKibbin, Kyle, and Mahsa Shabani. "Genomic Data as a National Strategic Resource: Implications for the Genomic Commons and International Data Sharing for Biomedical Research and Innovation." Journal of Law, Medicine & Ethics 51, no. 2 (2023): 301–13. http://dx.doi.org/10.1017/jme.2023.77.

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AbstractThis article provides a critical review of new policies in China, the United States, and the European Union that characterize genomic data as a national strategic resource. Specifically, we review policies that regulate human genomic data for economic, national security, or other strategic purposes rather than ethical or individual rights purposes.

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Jin, Xiao-Ling, Miao Zhang, Zhongyun Zhou, and Xiaoyu Yu. "Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China." Journal of Medical Internet Research 21, no. 9 (2019): e13587. http://dx.doi.org/10.2196/13587.

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Background The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies’ value can only be realized by the aggregation and analysis of people’s genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. Objective This study aimed to prove that emerging blockchain technology provides a solu

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Mohammed Gourari, Fatiha, and Mohammad Amin Alkrisheh. "CRIMINAL LIABILITY FOR ANALYSING GENOMIC DATA WITHOUT OWNER'S CONSENT: A COMPARATIVE STUDY." Access to Justice in Eastern Europe 7, no. 3 (2024): 1–30. http://dx.doi.org/10.33327/ajee-18-7.3-a000302.

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Background: In the rapidly evolving landscape of genomics and biotechnology, the United Arab Emirates (UAE) has launched the Emirates Genome Program to harness the potential of genomic technologies for advancing healthcare services. Central to this initiative is the informed and voluntary participation of citizens in genetic research aimed at contributing to national health objectives through genetic data utilisation. Notably, the enactment of UAE Decree-Law No. (49) of 2023 underscores the importance of safeguarding genomic privacy as a foundational element for data security and individual ri

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Trikoz, E., E. Gulyaeva, and D. R. Brasil. "Genomic Security in the Criminal Policies of the BRICS Countries." BRICS Law Journal 11, no. 4 (2024): 108–25. https://doi.org/10.21684/2412-2343-2024-11-4-108-125.

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This article is devoted to the legislative regulation, court practice, and criminal policy in the field of genomic security within the jurisdiction of the BRICS countries. Researchers examine China’s experience with national legal regulation on matters related to genomics, the legal practices regarding genomic security in India, and the legal experience with genetic regulation of South Africa. For the longest time, the Chinese model of legal regulation had remained in its infancy; however, the high-profile case of a biologist named He Jiankui, who genetically edited the human genome, raised et

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Noor, Saba, Mansoor Ahmed, Malik Najmus Saqib, M. Abdullah-Al-Wadud, Md Saiful Islam, and Fazal-e-Amin. "Ontology for Attack Detection: Semantic-Based Approach for Genomic Data Security." Journal of Medical Imaging and Health Informatics 7, no. 6 (2017): 1309–23. http://dx.doi.org/10.1166/jmihi.2017.2221.

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Park, Young-Hoon, Yejin Kim, and Junho Shim. "Blockchain-Based Privacy-Preserving System for Genomic Data Management Using Local Differential Privacy." Electronics 10, no. 23 (2021): 3019. http://dx.doi.org/10.3390/electronics10233019.

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The advances made in genome technology have resulted in significant amounts of genomic data being generated at an increasing speed. As genomic data contain various privacy-sensitive information, security schemes that protect confidentiality and control access are essential. Many security techniques have been proposed to safeguard healthcare data. However, these techniques are inadequate for genomic data management because of their large size. Additionally, privacy problems due to the sharing of gene data are yet to be addressed. In this study, we propose a secure genomic data management system

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Puananndini, Dewi Asri, Aldi Satya Putranto, Mustafid Mustafid, and Indah Thalita. "Urgensi Regulasi Khusus untuk Perlindungan Data Genomik di Indonesia: Studi Perbandingan dengan GDPR dan Australian Privacy Act." al-Battar: Jurnal Pamungkas Hukum 2, no. 1 (2025): 44–63. https://doi.org/10.63142/al-battar.v2i1.156.

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This study aims to analyze the urgency of specific regulations for genomic data protection in Indonesia using a normative juridical approach and a comparative legal method with the European Union's General Data Protection Regulation (GDPR) and the Australian Privacy Act. Genomic data has unique characteristics that distinguish it from other personal data, requiring stricter legal protection. The analysis examines Indonesia’s Personal Data Protection Law (Law No. 27 of 2022) to identify regulatory weaknesses in ownership rights, informed consent mechanisms, data security, and cross-border data

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Malasowe, Bridget Ogheneovo, Magaret Dumebi Okpor, Fidelis Aghware, Rita Erhovwo Ako, and Edim Bassey Edim. "Assuring Data Integrity, Preservation, Transparency and Privacy of Genomic Data in the Sharing Process Using Blockchain Technology." Advances in Multidisciplinary & Scientific Research Journal Publication 10, no. 3 (2024): 17–46. http://dx.doi.org/10.22624/aims/bhi/v10n3p2.

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Personalized medicine has been made possible by the development of genomic research, which has opened up previously unheard-of possibilities for the identification, management, and prevention of diseases based on unique genetic profiles. On the other hand, privacy, data integrity, and consent management pose serious obstacles to the transparent and safe exchange of genetic data. This study investigates how blockchain technology can help with these issues by providing a decentralized, transparent, and unchangeable platform for exchanging genetic data. With its strong security features, blockcha

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Bashir, Muhammad Rizwan, Ahsan Mohyo ud Din, Muhammad Sajid, et al. "The application of genomics and bioinformatics to recognize soybean pathogen interaction in a changing climate." Plant Bulletin 2, no. 2 (2024): 88–92. http://dx.doi.org/10.55627/pbulletin.002.02.0391.

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The changing climate and continuously increasing global population has posed immense pressure on plant scientists to ensure per capita availability of food under scarcity of natural resources. The present circumstances also enforce to understand how rising CO2 level caused greenhouse effect in the environment which causes rise in the temperature and consequently influence the development of plant disease epidemic, to predict the genomic-based models under changing environmental conditions and to ensure continued food production. The application of genomics and bioinformatics tools are the inno

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Albalwy, Faisal, Andrew Brass, and Angela Davies. "A Blockchain-Based Dynamic Consent Architecture to Support Clinical Genomic Data Sharing (ConsentChain): Proof-of-Concept Study." JMIR Medical Informatics 9, no. 11 (2021): e27816. http://dx.doi.org/10.2196/27816.

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Background In clinical genomics, sharing of rare genetic disease information between genetic databases and laboratories is essential to determine the pathogenic significance of variants to enable the diagnosis of rare genetic diseases. Significant concerns regarding data governance and security have reduced this sharing in practice. Blockchain could provide a secure method for sharing genomic data between involved parties and thus help overcome some of these issues. Objective This study aims to contribute to the growing knowledge of the potential role of blockchain technology in supporting the

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Lerner, Barbara, Deborah Passey, Nina Sperber, and Sara Knight. "OP043: The evolving attitude towards privacy and security of personal genomic data." Genetics in Medicine 24, no. 3 (2022): S369. http://dx.doi.org/10.1016/j.gim.2022.01.590.

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Carter, Alexis B. "Considerations for Genomic Data Privacy and Security when Working in the Cloud." Journal of Molecular Diagnostics 21, no. 4 (2019): 542–52. http://dx.doi.org/10.1016/j.jmoldx.2018.07.009.

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Schwab, Abraham P., Hung S. Luu, Jason Wang, and Jason Y. Park. "Genomic Privacy." Clinical Chemistry 64, no. 12 (2018): 1696–703. http://dx.doi.org/10.1373/clinchem.2018.289512.

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Abstract BACKGROUND Genetic information is unique among all laboratory data because it not only informs the current health of the specific person tested but may also be predictive of the future health of the individual and, to varying degrees, all biological relatives. CONTENT As DNA sequencing has become ubiquitous with decreasing cost, large repositories of genomic data have emerged from the domains of research, healthcare, law enforcement, international security, and recreational consumer interest (i.e., genealogy). Broadly shared genomic data are believed to be a key element for future dis

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Hubaux, Jean-Pierre, Stefan Katzenbeisser, and Bradley Malin. "Genomic Data Privacy and Security: Where We Stand and Where We Are Heading." IEEE Security & Privacy 15, no. 5 (2017): 10–12. http://dx.doi.org/10.1109/msp.2017.3681048.

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Soni, Ravikant, Mohd Ashaq, P. Manjunath, et al. "Harnessing Genomic Resources and Molecular Breeding Techniques for Advancing Crop Resilience and Productivity." PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY 25, no. 11-12 (2024): 124–36. http://dx.doi.org/10.56557/pcbmb/2024/v25i11-128905.

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Crop improvement and adaptation are critical to ensure global food security in the face of climate change, population growth, and resource limitations. Exploiting genomic resources and molecular breeding techniques offers immense potential to accelerate the development of resilient, high-yielding crop varieties. This review provides an overview of the current state and future prospects of leveraging genomics and molecular breeding for crop improvement, with a focus on major food crops. We discuss key genomic resources such as reference genomes, transcriptomes, and pan-genomes, as well as power

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REDDY, S. N. K., PUNEET WALIA, and SANJEET SINGH SANDAL. "DIGITAL REVOLUTION IN PLANT BREEDING: A COMPREHENSIVE REVIEW OF METHODOLOGIES, TOOLS, APPLICATIONS, AND FUTURE PERSPECTIVES." Asian Journal of Microbiology, Biotechnology & Environmental Sciences 25, no. 04 (2023): 629–32. http://dx.doi.org/10.53550/ajmbes.2023.v25i04.003.

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Digital breeding integrates modern technologies like genomics, bioinformatics, and data analytics into conventional plant breeding. It accelerates the breeding process, improves selection effectiveness, and enhances crop yield and quality. High-throughput genotyping and phenotyping technologies enable efficient analysis of large populations and rapid characterization of plant traits. Genomic selection and data analytics aid in predicting breeding values and analyzing extensive data for trait improvement. Digital breeding applications include accelerated breeding cycles, trait-based breeding, d

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Budiyanti, Rani Tiyas, Penggalih Mahardika Herlambang, and Nurhasmadiar Nandini. "Tantangan Etika dan Hukum Penggunaan Rekam Medis Elektronik dalam Era Personalized Medicine." Jurnal Kesehatan Vokasional 4, no. 1 (2019): 49. http://dx.doi.org/10.22146/jkesvo.41994.

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Background: Personalized medicine is one of the health treatment approaches that has developed in the last ten years. This treatment is specific because it considers the genomics of patients and requires a complete database or medical record covering clinical and genomic data. Nevertheless, there are ethical and legal challenges in the implementation of electronic medical records in personalized medicine.Objective: This study aimed to determine the ethical and legal challenges in the use of electronic medical records in personalized medicine based on previous literature.Methods: The method use

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Viswaketan Reddy Prodduturi. "Real-Time Genomic Analytics in Clinical Practice: A Framework for High-Throughput Data Processing and Decision Support." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 908–15. https://doi.org/10.32628/cseit25111292.

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Recent advances in genomic sequencing technologies have generated unprecedented volumes of clinical genomic data, necessitating robust real-time analytics solutions for immediate clinical decision support. This article presents a comprehensive framework for implementing real-time genomic data processing in clinical settings, addressing the challenges of high-throughput data management while maintaining patient privacy and data security. The article examines the integration of distributed computing frameworks and stream processing technologies to facilitate rapid analysis of genomic data alongs

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Amorim, Mariana, Susana Silva, Helena Machado, et al. "Benefits and Risks of Sharing Genomic Data for Research: Comparing the Views of Rare Disease Patients, Informal Carers and Healthcare Professionals." International Journal of Environmental Research and Public Health 19, no. 14 (2022): 8788. http://dx.doi.org/10.3390/ijerph19148788.

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Assessing public and patients’ expectations and concerns about genomic data sharing is essential to promote adequate data governance and engagement in rare diseases genomics research. This cross-sectional study compared the views of 159 rare disease patients, 478 informal carers and 63 healthcare professionals in Northern Portugal about the benefits and risks of sharing genomic data for research, and its associated factors. The three participant groups expressed significantly different views. The majority of patients (84.3%) and informal carers (87.4%) selected the discovery of a cure for untr

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Michael, Halim. "The Revolution of Genomics Technologies and their Applications in Basic and Clinical Science." International Journal of Innovative Science and Research Technology 7, no. 3 (2022): 942–47. https://doi.org/10.5281/zenodo.6433758.

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The Human Genome Project focuses on identifying and mapping human genome genes and the base pair of DNA. Bioinformatics is an emerging field that plays a significant role in exploiting the existing amount of genome data to solve a wide range of genomic problems. The emergence and implementation of bioinformatics are vital in providing a platform for managing, analysing, and implementing the existing data on genomics. One of the leading benefits of bioinformatics is the increased capacity to perform system-wide analysis involving genomes, phonemes, and explanations on the association between ph

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E, Arunkumar, Dhivanesh S, Manjokumar S, and Dr Jayamurugan G. "Secure DNA Data Storage with Similarity Search in Cloud Environments." International Research Journal of Computer Science 11, no. 04 (2024): 242–48. http://dx.doi.org/10.26562/irjcs.2024.v1104.18.

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DNA similarity search has been widely applied in human genomic studies including DNA marking, genomic sequencing and genetic disease prediction. Meanwhile, with the explosive growth of data, users are increasingly inclining to store DNA data on the cloud for saving local cost. However, the high sensitivity of DNA data has forced the government to strictly control its acquisition and utilization. One potential solution is to encrypt DNA data before outsourcing them to the cloud. Nevertheless, private DNA similarity query has been an active research issue, state-of-the-art results are still defe

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Bahmani, Amir, Kyle Ferriter, Vandhana Krishnan, et al. "Swarm: A federated cloud framework for large-scale variant analysis." PLOS Computational Biology 17, no. 5 (2021): e1008977. http://dx.doi.org/10.1371/journal.pcbi.1008977.

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Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crosstalk between genomic datasets stored on various cloud platforms. We demonstrate its utility via common inquiries of genomic variants across BigQuery in the Google Cloud Platform (GCP), Athena in the Amazon Web Services (AWS), Apache Presto and MySQL. Compared to single-cloud platforms, the Swarm framework significantly reduced computational costs, ru

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Aziz, Md Momin Al, Md Toufique Morshed Tamal, and Noman Mohammed. "Secure Genomic String Search with Parallel Homomorphic Encryption." Information 15, no. 1 (2024): 40. http://dx.doi.org/10.3390/info15010040.

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Fully homomorphic encryption (FHE) cryptographic systems enable limitless computations over encrypted data, providing solutions to many of today’s data security problems. While effective FHE platforms can address modern data security concerns in unsecure environments, the extended execution time for these platforms hinders their broader application. This project aims to enhance FHE systems through an efficient parallel framework, specifically building upon the existing torus FHE (TFHE) system chillotti2016faster. The TFHE system was chosen for its superior bootstrapping computations and precis

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Researcher. "OPTIMIZING HEALTHCARE DATA GOVERNANCE: ENSURING ACCURACY, INTEGRITY, AND ACCESSIBILITY FOR ENHANCED DECISION-MAKING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1–9. https://doi.org/10.5281/zenodo.14039753.

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In the era of digital transformation, healthcare organizations are getting dealing with huge volumes of data emanating from different sources such as EHRs, medical devices, patient portals, genomic sequencing, wearable technologies, among others. Handling such data responsibly requires appropriate data governance so that maximum value can be extracted for improvement in clinical and operational decision-making. However, data governance in healthcare also presents specific challenges, such as information silos, inconsistent quality of data, privacy and security, difficulty in complying with reg

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Francisca Chibugo Udegbe, Ogochukwu Roseline Ebulue, Charles Chukwudalu Ebulue, and Chukwunonso Sylvester Ekesiobi. "PRECISION MEDICINE AND GENOMICS: A COMPREHENSIVE REVIEW OF IT-ENABLED APPROACHES." International Medical Science Research Journal 4, no. 4 (2024): 509–20. http://dx.doi.org/10.51594/imsrj.v4i4.1053.

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This review delves into Information Technology's (IT) transformative impact on precision medicine and genomics, spotlighting the pivotal role of bioinformatics, data mining, machine learning, and blockchain technologies in advancing personalized healthcare. A comprehensive analysis outlines how these IT-enabled approaches facilitate the analysis, interpretation, and application of vast genomic data sets, thereby enhancing disease prediction, diagnosis, and treatment on an individual level. Despite the promising advancements, the review also addresses significant challenges, including data comp

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Blackburn, Harvey D., Ted Manahan, Carrie S. Wilson, et al. "333 Animal –GRIN a platform for animal genetic information." Journal of Animal Science 97, Supplement_3 (2019): 49. http://dx.doi.org/10.1093/jas/skz258.098.

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Abstract An information system, Animal-GRIN, has been constructed as part of the U.S., Brazilian, and Canadian livestock genetic resource programs. It is designed to provide information to gene bank managers, the research community, and livestock producers about livestock breeds and subpopulations acquired in gene bank collections. The system was developed using a range of free software tools, including: MySQL, Ruby on Rails, Java Script, etc. The system is dynamic and publically accessible (https://nrrc.ars.usda.gov/A-GRIN). Exemplary information in Animal-GRIN consists of: animal identifiers

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Wong, David C. S., Maximiliano Olivera, Jing Yu, et al. "Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice." Modeling and Artificial Intelligence in Ophthalmology 3, no. 1 (2021): 101–40. http://dx.doi.org/10.35119/maio.v3i1.115.

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Aim: To familiarize clinicians with clinical genomics, and to describe the potential of cloud computing for enabling the future routine use of genomics in eye hospital settings.Design: Review article exploring the potential for cloud-based genomic pipelines in eye hospitals.Methods: Narrative review of the literature relevant to clinical genomics and cloud computing, using PubMed and Google Scholar. A broad overview of these fields is provided, followed by key examples of their integration.Results: Cloud computing could benefit clinical genomics due to scalability of resources, potentially low

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Mittos, Alexandros, Bradley Malin, and Emiliano De Cristofaro. "Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective." Proceedings on Privacy Enhancing Technologies 2019, no. 1 (2019): 87–107. http://dx.doi.org/10.2478/popets-2019-0006.

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Abstract Rapid advances in human genomics are enabling researchers to gain a better understanding of the role of the genome in our health and well-being, stimulating hope for more effective and cost efficient healthcare. However, this also prompts a number of security and privacy concerns stemming from the distinctive characteristics of genomic data. To address them, a new research community has emerged and produced a large number of publications and initiatives. In this paper, we rely on a structured methodology to contextualize and provide a critical analysis of the current knowledge on priv

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Asgiani, Piping, Chriswardani Suryawati, and Farid Agushybana. "A literature review: Security Aspects in the Implementation of Electronic Medical Records in Hospitals." MEDIA ILMU KESEHATAN 10, no. 2 (2022): 161–66. http://dx.doi.org/10.30989/mik.v10i2.561.

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Backgrounds: Electronic Medical Records have complete and integrated patient health data, and are up to date because RME combines clinical and genomic data, this poses a great risk to data disclosure The priority of privacy is data security (security) so that data will not leak to other parties. That way cyber attacks can be suppressed by increasing cybersecurity, namely conducting regular evaluation and testing of security levels.Objectives: To determine the security technique that maintains privacy of electronic medical records.Methods: This type of research uses a literature review methodRe

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Rogith, Deevakar, Rafeek Adeyemi Yusuf, Shelly Renee Anstey Hovick, et al. "Attitudes regarding privacy of genomic information in personalized cancer therapy." Journal of Clinical Oncology 31, no. 15_suppl (2013): 9576. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.9576.

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9576 Background: Cancer therapy is increasingly personalized to the molecular characteristics of a particular patient and his/her tumor. Patients and providers express interest in personalized therapy yet concerns regarding the privacy of genomic data have been raised, particularly in the context of research. We evaluated patients’ attitudes regarding privacy of genomic data. Methods: Newly registered female breast cancer patients at MD Anderson Cancer Center were invited to participate. Of 308 consecutive patients approached, 100 completed a survey assessing attitudes regarding association of

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Salmi, Liz, Juliana Barnard, Carly Ritger, et al. "DISP-10. ENHANCING TRUST AND REPRESENTATIVE PARTICIPATION IN THE INTERNATIONAL LOW GRADE GLIOMA REGISTRY: COMMUNITY ENGAGEMENT STRATEGIES AND RECOMMENDATIONS." Neuro-Oncology 25, Supplement_5 (2023): v138—v139. http://dx.doi.org/10.1093/neuonc/noad179.0525.

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Abstract BACKGROUND The International Low Grade Glioma (LGG) Registry is a community of people with LGGs who have contributed data and specimens to facilitate genomic research. The Registry aims to discover the roles genetics and the environment play in glioma risk factors and treatment response. To ensure findings apply to a range of diverse populations and settings, it is crucial to build trust and encourage representative participation in the Registry. METHODS Three engagement strategies were used to gather recommendations for improving trust and participation in LGG genomic research. We es

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Jones, Kerina H., Helen Daniels, Emma Squires, and David V. Ford. "Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study." Journal of Medical Internet Research 21, no. 8 (2019): e14384. http://dx.doi.org/10.2196/14384.

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Background The literature abounds with increasing numbers of research studies using genomic data in combination with health data (eg, health records and phenotypic and lifestyle data), with great potential for large-scale research and precision medicine. However, concerns have been raised about social acceptability and risks posed for individuals and their kin. Although there has been public engagement on various aspects of this topic, there is a lack of information about public views on data access models. Objective This study aimed to address the lack of information on the social acceptabili

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Hatijar, Hatijar, Novycha Auliafendri, Robertus Surjoseto, Ni Ketut Sujati, and Muhammad Nazarudin. "Application of Genomic Technology in Early Diagnosis and Personalized Treatment for Cancer Patients." Global International Journal of Innovative Research 2, no. 1 (2024): 384–91. http://dx.doi.org/10.59613/global.v2i1.66.

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This journal article delves into the transformative impact of genomic technology in the realm of cancer diagnosis and treatment, specifically focusing on early detection and personalized therapeutic interventions. Genomic advancements have revolutionized our understanding of cancer at the molecular level, offering unprecedented insights into the genetic basis of the disease. This study explores the application of genomic technology to enable early diagnosis by identifying specific genetic markers associated with different cancer types. The research also investigates the integration of genomic

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Abu Saleh Muhammad Saimon, Mohammad Moniruzzaman, Md Shafiqul Islam, et al. "Integrating Genomic Selection and Machine Learning: A Data-Driven Approach to Enhance Corn Yield Resilience Under Climate Change." Journal of Environmental and Agricultural Studies 4, no. 2 (2023): 20–27. http://dx.doi.org/10.32996/jeas.2023.4.2.6.

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Genomic selection is a revolutionary approach in breeding, exploiting genetic markers to forecast breeding values and hence accelerating the pace of traits associated with resilience, like drought tolerance, heat resistance, and pest resistance. This study addresses these challenges through ML algorithms such as random forests, support vector machines, and neural networks thereby enhancing prediction accuracy while handling complicated genomic as well as environmental datasets. Relevant ML algorithms for genomic selection are considered in this discussion, as well as strategies for data proces

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Krumm, Niklas, and Noah Hoffman. "Practical Cost Analysis of Genomic Data in the Cloud." American Journal of Clinical Pathology 152, Supplement_1 (2019): S2—S3. http://dx.doi.org/10.1093/ajcp/aqz112.004.

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Abstract Background The growth of clinical NGS testing, together with new CAP checklist items stating that read-level (raw) NGS data must be retained for a minimum of 2 years, has prompted laboratories to reevaluate their NGS data storage solutions. In this context, cloud-based storage has several advantages, such as low per-GB prices, scalability, and minimal fixed costs; nonetheless, several perceived disadvantages, including increased complexity and security/regulatory considerations, have hindered adoption. Furthermore, despite the ostensibly simple usage-based pricing plans, practical cos

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