Inferring the origin of the genetic code
Springer Optimization and Its Applications, ISSN: 1931-6836, Vol: 7, Page: 291-320
2007
- 12Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures12
- Readers12
- 12
Book Chapter Description
The extensive production of data concerning structural and functional aspects of molecules of fundamental biological interest during the last 30 years, mainly due to the rapid evolving of biotechnologies as well as to the accomplishment of the Genome Projects, has led to the need to adopt appropriate computational approaches for data storage, manipulation and analyses, giving space to fast evolving areas of biology: Computational Biology and Bioinformatics. The design of suitable computational methods and adequate models is nowadays fundamental for the management and mining of the data. Indeed, such approaches and their results might have strong impact on our knowledge of biological systems. Here we discuss the advantages of novel methodologies to building data warehouses where data collections on different aspects of biological molecules are integrated. Indeed, when considered as a whole, biological data can reveal hidden features which may provide further information in open discussions of general interest in biology.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84976502211&origin=inward; http://dx.doi.org/10.1007/978-0-387-69319-4_17; http://link.springer.com/10.1007/978-0-387-69319-4_17; http://link.springer.com/content/pdf/10.1007/978-0-387-69319-4_17.pdf; http://www.springerlink.com/index/10.1007/978-0-387-69319-4_17; http://www.springerlink.com/index/pdf/10.1007/978-0-387-69319-4_17; https://dx.doi.org/10.1007/978-0-387-69319-4_17; https://link.springer.com/chapter/10.1007/978-0-387-69319-4_17
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