DeepBase: Annotation and discovery of MicroRNAs and other noncoding RNAs from deep-sequencing data
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 822, Page: 233-248
2012
- 22Citations
- 36Captures
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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
- Citations22
- Citation Indexes22
- 22
- CrossRef20
- Captures36
- Readers36
- 34
Book Chapter Description
Recent advances in high-throughput deep-sequencing technology have produced large numbers of short and long RNA sequences and enabled the detection and profiling of known and novel microRNAs (miRNAs) and other noncoding RNAs (ncRNAs) at unprecedented sensitivity and depth. In this chapter, we describe the use of deepBase, a database that we have developed to integrate all public deep-sequencing data and to facilitate the comprehensive annotation and discovery of miRNAs and other ncRNAs from these data. deepBase provides an integrative, interactive, and versatile web graphical interface to evaluate miRBase-annotated miRNA genes and other known ncRNAs, explores the expression patterns of miRNAs and other ncRNAs, and discovers novel miRNAs and other ncRNAs from deep-sequencing data. deepBase also provides a deepView genome browser to comparatively analyze these data at multiple levels. deepBase is available at http://deepbase.sysu.edu.cn/ © 2012 Springer Science+Business Media, LLC.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84862946513&origin=inward; http://dx.doi.org/10.1007/978-1-61779-427-8_16; http://www.ncbi.nlm.nih.gov/pubmed/22144203; https://link.springer.com/10.1007/978-1-61779-427-8_16; http://www.springerlink.com/index/10.1007/978-1-61779-427-8_16; http://www.springerlink.com/index/pdf/10.1007/978-1-61779-427-8_16; https://dx.doi.org/10.1007/978-1-61779-427-8_16; https://link.springer.com/protocol/10.1007/978-1-61779-427-8_16
Springer Science and Business Media LLC
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