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@@ -12,12 +12,17 @@ on signal shape, examine cycling detection reproducibility across biological
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datasets, and optimize experimental design for cycle detection.
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TimeTrial is currently in beta.
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Try TimeTrial Online powered by Rstudio's shinyapps.io:
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- [TimeTrial Synthetic Data App ](https://nesscoder.shinyapps.io/TimeTrial_Synthetic/)
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- [TimeTrial Real Data App ](https://nesscoder.shinyapps.io/TimeTrial_Real/)
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Watch our [introductory video](https://vimeo.com/388290542) for TimeTrial training material.
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[![TimeTrial](https://res.cloudinary.com/marcomontalbano/image/upload/v1580425724/video_to_markdown/images/vimeo--388290542-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://vimeo.com/388290542 "TimeTrial")
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***
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### Installation Instructions
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### Local Installation Instructions
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1. Clone the TimeTrial repo to your Desktop (Mac)
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- `git clone https://github.com/nesscoder/TimeTrial.git ~/Desktop`
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2. Open The TimeTrial_Synthetic.R or TimeTrial_Real.R using RStudio
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***
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R version 3.6.3 (2020-02-29)
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Packages:
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- limma_3.42.2
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- rain_1.20.0
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- multtest_2.42.0
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- Biobase_2.46.0
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- BiocGenerics_0.32.0 gmp_0.5-13.6
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- BiocManager_1.30.10
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- gridGraphics_0.5-0
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- gridExtra_2.3
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- eulerr_6.1.0
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- UpSetR_1.4.0
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- vembedr_0.1.3
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- htmltools_0.4.0
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- shinyjs_1.1
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- pROC_1.16.2
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- pastecs_1.3.21
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- shinythemes_1.1.2
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- matrixStats_0.56.0
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- gplots_3.0.3
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- forcats_0.5.0
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- stringr_1.4.0
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- dplyr_0.8.5
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- purrr_0.3.4
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- readr_1.3.1
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- tidyr_1.0.2
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- tibble_3.0.1
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- tidyverse_1.3.0
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- plyr_1.8.6
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- ggplot2_3.3.0
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- shiny_1.4.0.2
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***
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TimeTrial is Currently in Preprint on BioRxiv:
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[See Article](https://doi.org/10.1101/2020.04.15.043695)
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