Genome-wide identification of coding small open reading frames: The unknown transcriptome
Journal of Shanghai Jiaotong University (Science), ISSN: 1995-8188, Vol: 19, Issue: 6, Page: 663-668
2014
- 1Citations
- 9Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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.
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.
Article Description
The identification of the complete repertoire of functional peptides in a cell is ultimately essential for a systems-wide understanding of its behavior. There have indeed been a plethora of studies purportedly designed to this end. However, these studies in fact routinely overlook a potentially significant portion of their data that might encode for peptides that are smaller than 100 amino acids. This is largely owing to technical reasons associated with the difficulty of distinguishing, with statistical significance, a coding sequence of this length from a non-coding sequence. Recently, a growing number of studies have shown that there are indeed many small open reading frame (sORF) encoded peptides that play important roles in a wide range of different biological processes. As such, there is now significant interest in methodologies that can be used to identify this drastically neglected portion of the cellular proteome. In this review, we introduce the presently known annotated sORFs and describe the new strategies that have been used to determine the coding sORFs, genome-wide.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84912135282&origin=inward; http://dx.doi.org/10.1007/s12204-014-1563-x; http://link.springer.com/10.1007/s12204-014-1563-x; http://link.springer.com/content/pdf/10.1007/s12204-014-1563-x; http://link.springer.com/content/pdf/10.1007/s12204-014-1563-x.pdf; http://link.springer.com/article/10.1007/s12204-014-1563-x/fulltext.html; https://dx.doi.org/10.1007/s12204-014-1563-x; https://link.springer.com/article/10.1007/s12204-014-1563-x
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know