Transcriptional profiling of Dictyostelium with RNA sequencing
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 983, Page: 139-171
2013
- 13Citations
- 21Captures
Metric Options: CountsSelecting 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.
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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
- Citations13
- Citation Indexes13
- CrossRef13
- 11
- Captures21
- Readers21
- 21
Book Chapter Description
Transcriptional profiling methods have been utilized in the analysis of various biological processes in Dictyostelium. Recent advances in high-throughput sequencing have increased the resolution and the dynamic range of transcriptional profiling. Here we describe the utility of RNA sequencing with the Illumina technology for production of transcriptional profiles. We also describe methods for data mapping and storage as well as common and specialized tools for data analysis, both online and offline. © Springer Science+Business Media, LLC 2013.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84877134368&origin=inward; http://dx.doi.org/10.1007/978-1-62703-302-2_8; http://www.ncbi.nlm.nih.gov/pubmed/23494306; https://link.springer.com/10.1007/978-1-62703-302-2_8; https://dx.doi.org/10.1007/978-1-62703-302-2_8; https://link.springer.com/protocol/10.1007/978-1-62703-302-2_8; http://link.springer.com/10.1007/978-1-62703-302-2_8; https://link.springer.com/content/pdf/10.1007%2F978-1-62703-302-2_8.pdf; http://link.springer.com/protocol/10.1007%2F978-1-62703-302-2_8; http://link.springer.com/content/pdf/10.1007/978-1-62703-302-2_8
Springer Science and Business Media LLC
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