[ report an error in this record ] basket (0): add | show Bioinformatics and big data in marine conservation Gadnayak, A.; Chakraborty, H.J.; Pradhan, S.P. (2026). Bioinformatics and big data in marine conservation, in: Das, B.K. et al. Bioinformatics tools for predictive ecology and fisheries. Sustainability Sciences in Asia and Africa, : pp. 271-280. https://dx.doi.org/10.1007/978-981-95-2573-7_15 In: Das, B.K.; Kumar, V.; Roy, S. (Ed.) (2026). Bioinformatics tools for predictive ecology and fisheries. Springer: Singapore. ISBN 978-981-95-2572-0. XXVI, 489 pp. https://dx.doi.org/10.1007/978-981-95-2573-7, more In: Sustainability Sciences in Asia and Africa. Springer: Singapore. ISSN 2730-6771; e-ISSN 2730-678X, more Available in  Authors  VLIZ [ request ] Authors    Top  Gadnayak, A. Chakraborty, H.J. Pradhan, S.P. Abstract Bioinformatics and big data have revolutionized marine science, enhancing our comprehension of marine ecosystems. These technologies enable the analysis of vast datasets generated by next-generation sequencing, genomics, proteomics, and metabolomics, providing insights into the genetic diversity, adaptation mechanisms, and ecological roles of marine organisms. Big data applications facilitate the study of microbial ecology, population genetics, ecosystem modeling, and oceanographic processes, aiding in conservation efforts and climate change mitigation. Challenges such as data management, ethical considerations, and the need for advanced computational resources persist, but emerging technologies like AI and synthetic biology offer promising solutions for the future of marine conservation. All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy  Top | Authors