Computational biology in Colombia
[...]computational resources have evolved in recent years to become available to the general public, with greater ability to solve intense computational problems at low cost. [...]the vast amount of information that is currently being generated and the need for finding the underpinnings of several...
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| Veröffentlicht in: | PLoS computational biology 2009-10, Vol.5 (10), p.e1000535-e1000535 |
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| container_end_page | e1000535 |
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| container_title | PLoS computational biology |
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| creator | Restrepo, Silvia Pinzón, Andrés Rodríguez-R, Luis Miguel Sierra, Roberto Grajales, Alejandro Bernal, Adriana Barreto, Emiliano Moreno, Pedro A Moreno, Pedro Zambrano, Maria Mercedes Cristancho, Marco González, Andrés Castro, Harold |
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[...]computational resources have evolved in recent years to become available to the general public, with greater ability to solve intense computational problems at low cost. [...]the vast amount of information that is currently being generated and the need for finding the underpinnings of several issues in biology, have been the impetus of the computational biology area in Latin America. In Colombia, computational biology is just starting to be known as a field of research in its own right. [...]mainly chemists and biologists have used bioinformatics as a tool to try to solve their particular research problems. Coffee has historically been the main agricultural export product of Colombia, accounting for 17% of the agricultural production in 2008, and giving employment to more than 560,000 coffee-growing families [1].\n Topics have varied from an introduction to bioinformatics to microarray analyses. |
| doi_str_mv | 10.1371/journal.pcbi.1000535 |
| format | Article |
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[...]computational resources have evolved in recent years to become available to the general public, with greater ability to solve intense computational problems at low cost. [...]the vast amount of information that is currently being generated and the need for finding the underpinnings of several issues in biology, have been the impetus of the computational biology area in Latin America. In Colombia, computational biology is just starting to be known as a field of research in its own right. [...]mainly chemists and biologists have used bioinformatics as a tool to try to solve their particular research problems. Coffee has historically been the main agricultural export product of Colombia, accounting for 17% of the agricultural production in 2008, and giving employment to more than 560,000 coffee-growing families [1].\n Topics have varied from an introduction to bioinformatics to microarray analyses.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1000535</identifier><identifier>PMID: 19876381</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural production ; Bioinformatics ; Biological diversity ; Biology ; Chemical engineering ; Climate change ; Coffee ; Colombia ; Computational Biology ; Computational Biology - education ; Computational Biology - trends ; Genetic diversity ; Genomics ; Graduate students ; Plant diseases</subject><ispartof>PLoS computational biology, 2009-10, Vol.5 (10), p.e1000535-e1000535</ispartof><rights>COPYRIGHT 2009 Public Library of Science</rights><rights>Restrepo et al. 2009</rights><rights>2009 Restrepo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Restrepo S, Pinzón A, Rodríguez-R LM, Sierra R, Grajales A, et al. (2009) Computational Biology in Colombia. PLoS Comput Biol 5(10): e1000535. doi:10.1371/journal.pcbi.1000535</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c604t-1a62ec0ec4a95dc707bfaaaa36657730f0569fef01d8d535ae5f2bbf3639abe43</citedby><cites>FETCH-LOGICAL-c604t-1a62ec0ec4a95dc707bfaaaa36657730f0569fef01d8d535ae5f2bbf3639abe43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762518/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762518/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19876381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Restrepo, Silvia</creatorcontrib><creatorcontrib>Pinzón, Andrés</creatorcontrib><creatorcontrib>Rodríguez-R, Luis Miguel</creatorcontrib><creatorcontrib>Sierra, Roberto</creatorcontrib><creatorcontrib>Grajales, Alejandro</creatorcontrib><creatorcontrib>Bernal, Adriana</creatorcontrib><creatorcontrib>Barreto, Emiliano</creatorcontrib><creatorcontrib>Moreno, Pedro A</creatorcontrib><creatorcontrib>Moreno, Pedro</creatorcontrib><creatorcontrib>Zambrano, Maria Mercedes</creatorcontrib><creatorcontrib>Cristancho, Marco</creatorcontrib><creatorcontrib>González, Andrés</creatorcontrib><creatorcontrib>Castro, Harold</creatorcontrib><title>Computational biology in Colombia</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>
[...]computational resources have evolved in recent years to become available to the general public, with greater ability to solve intense computational problems at low cost. [...]the vast amount of information that is currently being generated and the need for finding the underpinnings of several issues in biology, have been the impetus of the computational biology area in Latin America. In Colombia, computational biology is just starting to be known as a field of research in its own right. [...]mainly chemists and biologists have used bioinformatics as a tool to try to solve their particular research problems. 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Pinzón, Andrés ; Rodríguez-R, Luis Miguel ; Sierra, Roberto ; Grajales, Alejandro ; Bernal, Adriana ; Barreto, Emiliano ; Moreno, Pedro A ; Moreno, Pedro ; Zambrano, Maria Mercedes ; Cristancho, Marco ; González, Andrés ; Castro, Harold</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c604t-1a62ec0ec4a95dc707bfaaaa36657730f0569fef01d8d535ae5f2bbf3639abe43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agricultural production</topic><topic>Bioinformatics</topic><topic>Biological diversity</topic><topic>Biology</topic><topic>Chemical engineering</topic><topic>Climate change</topic><topic>Coffee</topic><topic>Colombia</topic><topic>Computational Biology</topic><topic>Computational Biology - education</topic><topic>Computational Biology - trends</topic><topic>Genetic diversity</topic><topic>Genomics</topic><topic>Graduate students</topic><topic>Plant diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Restrepo, Silvia</creatorcontrib><creatorcontrib>Pinzón, Andrés</creatorcontrib><creatorcontrib>Rodríguez-R, Luis Miguel</creatorcontrib><creatorcontrib>Sierra, Roberto</creatorcontrib><creatorcontrib>Grajales, Alejandro</creatorcontrib><creatorcontrib>Bernal, Adriana</creatorcontrib><creatorcontrib>Barreto, Emiliano</creatorcontrib><creatorcontrib>Moreno, Pedro A</creatorcontrib><creatorcontrib>Moreno, Pedro</creatorcontrib><creatorcontrib>Zambrano, Maria Mercedes</creatorcontrib><creatorcontrib>Cristancho, Marco</creatorcontrib><creatorcontrib>González, Andrés</creatorcontrib><creatorcontrib>Castro, Harold</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Restrepo, Silvia</au><au>Pinzón, Andrés</au><au>Rodríguez-R, Luis Miguel</au><au>Sierra, Roberto</au><au>Grajales, Alejandro</au><au>Bernal, Adriana</au><au>Barreto, Emiliano</au><au>Moreno, Pedro A</au><au>Moreno, Pedro</au><au>Zambrano, Maria Mercedes</au><au>Cristancho, Marco</au><au>González, Andrés</au><au>Castro, Harold</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational biology in Colombia</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2009-10-01</date><risdate>2009</risdate><volume>5</volume><issue>10</issue><spage>e1000535</spage><epage>e1000535</epage><pages>e1000535-e1000535</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>
[...]computational resources have evolved in recent years to become available to the general public, with greater ability to solve intense computational problems at low cost. [...]the vast amount of information that is currently being generated and the need for finding the underpinnings of several issues in biology, have been the impetus of the computational biology area in Latin America. In Colombia, computational biology is just starting to be known as a field of research in its own right. [...]mainly chemists and biologists have used bioinformatics as a tool to try to solve their particular research problems. Coffee has historically been the main agricultural export product of Colombia, accounting for 17% of the agricultural production in 2008, and giving employment to more than 560,000 coffee-growing families [1].\n Topics have varied from an introduction to bioinformatics to microarray analyses.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>19876381</pmid><doi>10.1371/journal.pcbi.1000535</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Agricultural production Bioinformatics Biological diversity Biology Chemical engineering Climate change Coffee Colombia Computational Biology Computational Biology - education Computational Biology - trends Genetic diversity Genomics Graduate students Plant diseases |
| title | Computational biology in Colombia |
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