{"refrec":{"BRefID":318326,"RR":"<b>Ambrosino, L.; Tangherlini, M.; Colantuono, C.; Esposito, A.; Sangiovanni, M.; Miralto, M.; Sansone, C.; Chiusano, M.L.</b> (2019). Bioinformatics for marine products: An overview of resources, bottlenecks, and perspectives. <i>Mar. Drugs 17(10)</i>: 576. <a href=\"https://dx.doi.org/10.3390/md17100576\" target=\"_blank\">https://dx.doi.org/10.3390/md17100576</a>","BEntID":311764,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Mar. Drugs 17(10)</i>: 576. <a href=\"https://dx.doi.org/10.3390/md17100576\" target=\"_blank\">https://dx.doi.org/10.3390/md17100576</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Ambrosino, L.; Tangherlini, M.; Colantuono, C.; Esposito, A.; Sangiovanni, M.; Miralto, M.; Sansone, C.; Chiusano, M.L.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Ambrosino, L. <i>et al.</i>","Englishabstract":"The sea represents a major source of biodiversity. It exhibits many different ecosystems in a huge variety of environmental conditions where marine organisms have evolved with extensive diversification of structures and functions, making the marine environment a treasure trove of molecules with potential for biotechnological applications and innovation in many different areas. Rapid progress of the omics sciences has revealed novel opportunities to advance the knowledge of biological systems, paving the way for an unprecedented revolution in the field and expanding marine research from model organisms to an increasing number of marine species. Multi-level approaches based on molecular investigations at genomic, metagenomic, transcriptomic, metatranscriptomic, proteomic, and metabolomic levels are essential to discover marine resources and further explore key molecular processes involved in their production and action. As a consequence, omics approaches, accompanied by the associated bioinformatic resources and computational tools for molecular analyses and modeling, are boosting the rapid advancement of biotechnologies. 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