<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Plant genomics and agriculture: from model organisms to crops, the role of data mining for gene discovery</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">V</mods:namePart><mods:namePart type="family">Mahalakshmi</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Ortiz</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Sequencing and analysing of the Arabidopsis thaliana&#13;
genome, the first plant kingdom genome to be&#13;
unraveled, will always remain a scientific landmark.&#13;
International initiatives to sequence rice, the most&#13;
important cereal in Asia, are underway. However as&#13;
functional information piles up in Arabidopsis and rice,&#13;
researchers working in other crops will benefit from&#13;
this new knowledge and apply it to their studied plants&#13;
or crop species. The increasing role of public databases&#13;
of model organisms and bio-informatics in data mining,&#13;
presents a new opportunity as well as a challenge to&#13;
researchers to develop more focused molecular tools for&#13;
gene discovery and deployment. The work presented in&#13;
here describes how such an approach has benefited&#13;
sorghum, a rainfed semi-arid troprical cereal.</mods:abstract><mods:classification authority="lcc">Genetics and Genomics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2001</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universidad Católica de Valparaíso</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>