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</script>1. System RequirementsSoftware Dependencies and Operating SystemsThe version of our systems to run “DESeq2_Calibration.R” is this.・language R ・version.string R version 4.3.0 (2023-04-21)The datasets are available on “GSE233555” in the National Center for Biotechnology Information (NCBI) database. 2. Installation GuideTo install R, follow the instructions on the official website: https://www.r-project.org/ 3. Instructions to Run on Data1. Open the R script (e.g., DESeq2_Calibration.R) in an R environment.2. Execute the script by clicking Run. 4.Expected Output* The csv file of number of ribosomes on each transcript. 5.Expected Run Time for Demo* The code is expected to run for approximately 1 minutes on a "normal" desktop computer.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
