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hemat_bairdi_transcriptome

Contact: Aspen Coyle, afcoyle@uw.edu Roberts Lab, UW-SAFS

Last edited README: 2021-03-04

Examining differential expression of shared Hematodinium/C. bairdi libraries over temperature and time.

All libraries originate from Grace Crandall's research. The same libraries and general notation is used here.

Tool Information and Software Versions

kallisto: version 0.46.0

Trinotate: version 3.2.1

Jupyter Lab: version 2.1.5

Jupyter Notebook: version 6.0.3

Operating system:

Windows 10, x64 (OS build: 18363.1256)
Running WSL version 1

R packages and info:

R version 4.0.4 (2021-02-15)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
 [1] grid      parallel  stats4    stats     graphics  grDevices utils     datasets  methods  
[10] base     

other attached packages:
 [1] VennDiagram_1.6.20          futile.logger_1.4.3         ape_5.4-1                  
 [4] vsn_3.58.0                  forcats_0.5.1               stringr_1.4.0              
 [7] dplyr_1.0.4                 purrr_0.3.4                 readr_1.4.0                
[10] tidyr_1.1.3                 tibble_3.1.0                ggplot2_3.3.3              
[13] tidyverse_1.3.0             DESeq2_1.30.1               SummarizedExperiment_1.20.0
[16] Biobase_2.50.0              MatrixGenerics_1.2.1        matrixStats_0.58.0         
[19] GenomicRanges_1.42.0        GenomeInfoDb_1.26.2         IRanges_2.24.1             
[22] S4Vectors_0.28.1            BiocGenerics_0.36.0         apeglm_1.12.0  

Folders:

data: unmodified data files

graphs: output from various R packages ran as part of analyses. Does include several tables

output: output from analyses

paper: publication

scripts: code to run analyses. Does include some output within the GO-MWU directory, as it is required for GO-MWU to run.

Subfolders:

Many folders in output/ and graphs/ are split into subdirectories labeled cbaihemat_transcriptomev2.0 and hemat_transcriptomev1.6. These correspond to analyses performed using cbai_transcriptomev2.0 and hemat_transcriptomev1.6

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