Comparison of gene expression profiles in nonmodel eukaryotic organisms with RNA-seq
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 1751, Page: 3-16
2018
- 7Citations
- 16Captures
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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
- Citations7
- Citation Indexes7
- Captures16
- Readers16
- 16
Book Chapter Description
With recent advances of next-generation sequencing technology, RNA-Sequencing (RNA-Seq) has emerged as a powerful approach for the transcriptomic profiling. RNA-Seq has been used in almost every field of biological studies, and has greatly extended our view of transcriptomic complexity in different species. In particular, for nonmodel organisms which are usually without high-quality reference genomes, the de novo transcriptome assembly from RNA-Seq data provides a solution for their comparative transcriptomic study. In this chapter, we focus on the comparative transcriptomic analysis of nonmodel organisms. Two analysis strategies (without or with reference genome) are described step-by-step, with the differentially expressed genes explored.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85043452304&origin=inward; http://dx.doi.org/10.1007/978-1-4939-7710-9_1; http://www.ncbi.nlm.nih.gov/pubmed/29508286; http://link.springer.com/10.1007/978-1-4939-7710-9_1; https://dx.doi.org/10.1007/978-1-4939-7710-9_1; https://link.springer.com/protocol/10.1007/978-1-4939-7710-9_1
Springer Nature
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