https://journals.bohrpub.com/index.php/bjbnt <p><strong>ISSN: 3048-4820 (Online) </strong></p> <p><strong>BOHR Journal of Biocomputing and Nano Technology (BJBNT)</strong> is an open access peer-reviewed journal that publishes articles which contribute new results in all the areas of Biocomputing and Nano Technology. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in this area.</p> en-US BOHR Journal of Biocomputing and Nano Technology 3048-4820 https://journals.bohrpub.com/index.php/bjbnt/article/view/670 <p>Bioinformatics has emerged as a vital tool in agriculture, performing an important role in crop improvement and precision agriculture. This review study explores the applications of bioinformatics in these areas, highlighting the importance of next-generation sequencing (NGS) and third-generation sequencing technologies like PacBio and ONT. The integration of bioinformatics and genomics has revolutionized crop improvement strategies, facilitating the creation of crop varieties that are more suitable for evolving climates. The review emphasizes the creation of integrated crop databases for managing large-scale genotype and phenotype data and discusses the role of bioinformatics in precision agriculture for optimizing resource usage and minimizing environmental impact. Multiomics technologies are highlighted for gaining insights into plant biology and facilitating informed decisions in crop improvement. Machine learning algorithms play a prominent role in interpreting diverse and complex datasets generated by imaging or sequencing, aiding in efficient plant phenotyping and the identification of associations between DNA sequences and traits. The review concludes by emphasizing the importance of collaboration, data integration, and the potential of bioinformatics in advancing agriculture.</p> Avil Alva N. Hemalatha Copyright (c) 2024 Avil Alva, N. Hemalatha https://creativecommons.org/licenses/by/4.0 2024-05-07 2024-05-07 2 1 1 5 10.54646/bjbnt.2024.12 https://journals.bohrpub.com/index.php/bjbnt/article/view/753 <p>Bioinformatics is defined as the application of computational and analytical tools to collect and interpret biological<br>data. With the advancement in technology and biological research, a vast amount of data is being produced,<br>necessitating large-scale storage and processing capabilities. Sequencing instruments lack sufficient storage<br>capacity. Cloud computing offers an efficient solution to these challenges, with low management costs. Cloud<br>computing involves storing and accessing data “over the Internet,” providing a scalable and flexible system for<br>addressing storage and processing problems. It allows anytime, anywhere access to applications, data sharing,<br>and resources, removing the need for researchers to manage computing clusters. In the field of bioinformatics,<br>cloud computing can provide services such as probe sequencing, quality control, and reporting for next-generation<br>sequencing (NGS) data and other bioinformatics tools. Over the years, cloud computing has become integral<br>to many bioinformatics solutions. Major companies such as Microsoft, Google, and Amazon offer cloud-based<br>platforms, and some cloud-based bioinformatics systems include Apache Hadoop, Dryad, Azure, and BioNimbus.<br>However, concerns have been raised regarding data management, infrastructure, and environmental performance.<br>Overall, cloud computing has the potential to revolutionize bioinformatics, making it more accessible to researchers<br>and professionals. In this research paper, we explore how the introduction of cloud computing has impacted the<br>field of bioinformatics.</p> Khadeeja Hanna Hema latha Copyright (c) 2024 Khadeeja Hanna, Hemalatha https://creativecommons.org/licenses/by/4.0 2024-05-03 2024-05-03 2 1 6 10 10.54646/bjbnt.2024.13