Last updated: 2019-04-23
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Knit directory: Harvard-RosenbrockLab/
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File | Version | Author | Date | Message |
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Rmd | 0ca3f62 | Yasin Kaymaz | 2019-04-23 | annotated with cell types |
html | 1df9791 | Yasin Kaymaz | 2019-04-19 | Build site. |
Rmd | d4af5c3 | Yasin Kaymaz | 2019-04-19 | small edits |
html | bf98d10 | Yasin Kaymaz | 2019-04-18 | Build site. |
Rmd | c9a6dac | Yasin Kaymaz | 2019-04-18 | flip-flops commit |
html | 7203af5 | Yasin Kaymaz | 2019-04-18 | Build site. |
Rmd | 2bd3ebb | Yasin Kaymaz | 2019-04-18 | flip-flops commit |
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
This figure shows the distribution of normalized expression (log2) of each glutamate ionotropic receptor AMPA genes in each cell group identified by Hook et al. The horizontal lines in bars = Median, Red dots = outlier cells,
‘hGluA1i Flip’ = ENSMUST00000036315.15_Gria1-201 ‘hGluA1o Flop’ = ENSMUST00000094179.10_Gria1-202
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
The heatmap shows the percent usage of each isoform in cells. Columns are cells and rows are all possible isoforms. Color scale from dark-blue to dark-red represent 0% to 100%. The green color annotation on top of the heatmap is the cumulative expression value for the given gene in that cell.
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
‘hGluA2o Flop’ = ENSMUST00000075316.9_Gria2-201 ‘hGluA2i Q/R Mut Flip’ = ENSMUST00000107745.7_Gria2-202
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
‘hGluA3o Flop’ = ENSMUST00000165288.1_Gria3-209 ‘hGluA3i Flip’ = ENSMUST00000076349.11_Gria3-201
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
‘hGluA4o Flop’ = ENSMUST00000027020.12_Gria4-201 ‘hGluA4i Flip’ = ENSMUST00000063508.14_Gria4-202
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
Version | Author | Date |
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7203af5 | Yasin Kaymaz | 2019-04-18 |
sessionInfo()
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin17.5.0 (64-bit)
Running under: macOS 10.14.4
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] Seurat_2.3.4 Matrix_1.2-14 cowplot_0.9.4 here_0.1
[5] forcats_0.4.0 stringr_1.4.0 dplyr_0.8.0.1 purrr_0.3.2
[9] readr_1.3.1 tidyr_0.8.3 tibble_2.0.1 tidyverse_1.2.1
[13] reshape2_1.4.3 DT_0.5 plotly_4.8.0 ggplot2_3.1.0
loaded via a namespace (and not attached):
[1] readxl_1.3.1 snow_0.4-3 backports_1.1.4
[4] Hmisc_4.2-0 workflowr_1.2.0 plyr_1.8.4
[7] igraph_1.2.4 lazyeval_0.2.1 splines_3.5.0
[10] digest_0.6.18 foreach_1.4.4 htmltools_0.3.6
[13] lars_1.2 gdata_2.18.0 magrittr_1.5
[16] checkmate_1.9.1 cluster_2.0.7-1 mixtools_1.1.0
[19] ROCR_1.0-7 modelr_0.1.4 R.utils_2.8.0
[22] colorspace_1.4-0 rvest_0.3.2 haven_2.1.0
[25] crayon_1.3.4 jsonlite_1.6 survival_2.42-6
[28] zoo_1.8-4 iterators_1.0.10 ape_5.2
[31] glue_1.3.1 gtable_0.2.0 kernlab_0.9-27
[34] prabclus_2.2-7 DEoptimR_1.0-8 scales_1.0.0
[37] pheatmap_1.0.12 mvtnorm_1.0-10 bibtex_0.4.2
[40] Rcpp_1.0.1 metap_1.1 dtw_1.20-1
[43] viridisLite_0.3.0 htmlTable_1.13.1 reticulate_1.11.1
[46] foreign_0.8-70 bit_1.1-14 proxy_0.4-23
[49] mclust_5.4.3 SDMTools_1.1-221 Formula_1.2-3
[52] tsne_0.1-3 stats4_3.5.0 htmlwidgets_1.3
[55] httr_1.4.0 gplots_3.0.1.1 RColorBrewer_1.1-2
[58] fpc_2.1-11.1 acepack_1.4.1 modeltools_0.2-22
[61] ica_1.0-2 pkgconfig_2.0.2 R.methodsS3_1.7.1
[64] flexmix_2.3-15 nnet_7.3-12 labeling_0.3
[67] tidyselect_0.2.5 rlang_0.3.4 munsell_0.5.0
[70] cellranger_1.1.0 tools_3.5.0 cli_1.1.0
[73] generics_0.0.2 broom_0.5.1 ggridges_0.5.1
[76] evaluate_0.10.1 yaml_2.2.0 npsurv_0.4-0
[79] knitr_1.20 bit64_0.9-7 fs_1.2.7
[82] fitdistrplus_1.0-14 robustbase_0.93-3 caTools_1.17.1.2
[85] RANN_2.6.1 pbapply_1.4-0 nlme_3.1-137
[88] whisker_0.3-2 R.oo_1.22.0 xml2_1.2.0
[91] hdf5r_1.0.1 compiler_3.5.0 rstudioapi_0.10
[94] png_0.1-7 lsei_1.2-0 stringi_1.2.4
[97] lattice_0.20-35 trimcluster_0.1-2.1 pillar_1.3.1
[100] Rdpack_0.10-1 lmtest_0.9-36 data.table_1.12.0
[103] bitops_1.0-6 irlba_2.3.3 gbRd_0.4-11
[106] R6_2.4.0 latticeExtra_0.6-28 KernSmooth_2.23-15
[109] gridExtra_2.3 codetools_0.2-15 MASS_7.3-50
[112] gtools_3.8.1 assertthat_0.2.1 rprojroot_1.3-2
[115] withr_2.1.2 diptest_0.75-7 parallel_3.5.0
[118] doSNOW_1.0.16 hms_0.4.2 grid_3.5.0
[121] rpart_4.1-13 class_7.3-14 rmarkdown_1.10
[124] segmented_0.5-3.0 Rtsne_0.15 git2r_0.25.2
[127] lubridate_1.7.4 base64enc_0.1-3