Editing Computational biology (section)

=== Colombia ===
In 2000, despite a lack of initial expertise in programming and data management, Colombia began applying computational biology from an industrial perspective, focusing on plant diseases. This research has contributed to understanding how to counteract diseases in crops like potatoes and studying the genetic diversity of coffee plants.<ref name=":6">{{Cite journal | last1 = Restrepo | first1 = Silvia | author-link1= Silvia Restrepo|last2 = Pinzón | first2 = Andrés | last3 = Rodríguez-R | first3 = Luis Miguel | last4 = Sierra | first4 = Roberto | last5 = Grajales | first5 = Alejandro | last6 = Bernal | first6 = Adriana | last7 = Barreto | first7 = Emiliano | last8 = Moreno | first8 = Pedro | last9 = Zambrano | first9 = María Mercedes | last10 = Cristancho | first10 = Marco | last11 = González | first11 = Andrés | last12 = Castro | first12 = Harold | title = Computational Biology in Colombia | journal = PLOS Computational Biology | volume = 5 | issue = 10 | pages = e1000535 | date = October 2009 | doi = 10.1371/journal.pcbi.1000535 | doi-access = free | pmid = 19876381 | pmc = 2762518 | bibcode = 2009PLSCB...5E0535R | url = https://www.researchgate.net/publication/282134718 | access-date = 6 October 2024 }}</ref> By 2007, concerns about alternative energy sources and global climate change prompted biologists to collaborate with systems and computer engineers. Together, they developed a robust computational network and database to address these challenges. In 2009, in partnership with the University of Los Angeles, Colombia also created a [[Virtual Learning Environment (VLE)]] to improve the integration of computational biology and bioinformatics.<ref name=":6" />