Bioinformatics: a history of evolution in silico

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33140477" target="_blank" >RIV/61989592:15310/12:33140477 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/00219266.2012.716776" target="_blank" >http://dx.doi.org/10.1080/00219266.2012.716776</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/00219266.2012.716776" target="_blank" >10.1080/00219266.2012.716776</a>

Result language
angličtina
Original language name
Bioinformatics: a history of evolution in silico
Original language description
Bioinformatics, biological databases, and the worldwide use of computers have accelerated biological research in many fields, such as evolutionary biology. Here, we describe a primer of nucleotide sequence management and the construction of a phylogenetic tree with two examples; the two selected are from completely different groups of organisms: hominids and cyanobacteria. The Hominid Group involves genetic information not only of recent species, but also from fossilized ancestors of modern humans. Nucleotide sequences are used to construct phylogenetic trees. In a case of the cyanobacteria group, the nucleotide sequences obtained from fossilized cyanobacteria were searched across databases to find similar sequences and identify recent relatives. Thisdemonstration of evolutionary history provides real examples of the bioinformatics approach in biological research; additionally, it can be utilized as practical exercises in biological studies; suitable for secondary or tertiary-level cl
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EB - Genetics and molecular biology
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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