Editing Computational biology (section)

== Global contributions ==

=== 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" />

=== Poland ===
In Poland, computational biology is closely linked to mathematics and computational science, serving as a foundation for bioinformatics and biological physics. The field is divided into two main areas: one focusing on physics and simulation and the other on biological sequences.<ref name=":4">{{Cite journal |last1=Bujnicki |first1=Janusz M. |last2=Tiuryn |first2=Jerzy |date=2013-05-02 |title=Bioinformatics and Computational Biology in Poland |journal=PLOS Computational Biology |language=en |volume=9 |issue=5 |pages=e1003048 |doi=10.1371/journal.pcbi.1003048 |doi-access=free |issn=1553-7358 |pmc=3642042 |pmid=23658507|bibcode=2013PLSCB...9E3048B }}</ref> The application of statistical models in Poland has advanced techniques for studying proteins and RNA, contributing to global scientific progress. Polish scientists have also been instrumental in evaluating protein prediction methods, significantly enhancing the field of computational biology. Over time, they have expanded their research to cover topics such as protein-coding analysis and hybrid structures, further solidifying Poland's influence on the development of bioinformatics worldwide.<ref name=":4" />