Containers.md
April 10, 2024 ยท View on GitHub
- Introduction: Quick Start, Tutorial, Flowchart, Outputs structure
- Install: Dependencies, Containers, References, Test datasets
- Inputs: Data, Design, Parameters
- 1. Preprocessing: ATAC reads, ATAC peaks, mRNA
- 2. Differential Analysis: ATAC, mRNA, Split
- 3. Enrichment Analysis: Enrichment, Figures, Tables
Almost all packages (excepting those with a "/" in their id in the table below) used by Cactus are Biocontainers. Biocontainer packages have the advantage to be available on conda and Mamba virtual environments, Singularity and Docker containers. As much as possible, single tools Biocontainers were used for easier maintenance. However, in some cases multiple-tools are needed (e.g. analysis in R) in which cases "mulled containers" were created via BioContainers' multi-package-containers tool. The download of all tools happens automatically the first time Cactus is run. Singularity images are hosted on the Galaxy singularity repository.
Below are more details regarding the use of Singularity containers.
Downloading all singularity containers uses 4 Gb of disk space in total. The parameter singularity_containers_path set in the ./.cactus.config file should be set to indicate in which directory the containers should be downloaded.
Here is the detail of the Singularity containers used and their size:
| name | size | id |
|---|---|---|
| pypdf2:2.11.1 | 479M | |
| bowtie2_samtools | 463M | mulled-v2-c742dccc9d8fabfcff2af0d8d6799dbc711366cf:b6524911af823c7c52518f6c886b86916d062940-0 |
| figures | 450M | mulled-v2-e0e17c59e64598cdb16a01c347c673dd021f778a:0dd10d4b12b50eec83ccd1f7b7740a08f2703bdf-0 |
| homer | 434M | homer:4.9.1--pl5.22.0_5 |
| differential_analysis | 309M | mulled-v2-abcadfb509d8692abe35c0bd02689ab7756d85f8:1b35d287a7c9c53a258be40306bdca167e2e078a-0 |
| venndiagram | 306M | pegi3s/r_venn-diagram:1.7.0 |
| bbmap | 293M | bbmap:38.96--h5c4e2a8_0 |
| r_basic | 292M | mulled-v2-b21cd52f0c50bbd777eaed41c0b8228b84cff4bd:b09be1d801d248a5a61257583e629f17052d8181-0 |
| skewer_pigz | 291M | mulled-v2-734ede4cc65b3b212388567aac99f6182e023a8f:26fbad413ebdf8aee65d8aa554d52a4f69548508-0 |
| fastqc | 261M | fastqc:0.11.7--4 |
| bioconductor | 167M | mulled-v2-0161037c6d8979d1ff5de7e591f5adfb3ffe38b8:2b97ca0a3f4f5409852afe863ef8068a83779815-0 |
| picard | 165M | picard:2.26.9--hdfd78af_0 |
| diffbind | 145M | mulled-v2-9ec5efd66a9a09ea4f9ad9bad5485675f031aeb4:cf736786cecad89eca5fea6d119a837e4bad7c08-0 |
| deeptools | 107M | deeptools:3.4.3--py_0 |
| samtools_bedtools_perl | 95M | mulled-v2-95fc59e28f845da0ff950325f8138eff9cedff14:0bc453d1b98bff9aef79c31f643f6b9f93bc7fbd-0 |
| sleuth | 55M | r-sleuth:0.30.0--r41hdfd78af_5 |
| macs2 | 43M | macs2:2.2.7.1--py37hf01694f_1 |
| bioperl | 21M | perl-bioperl-core:1.007002--pl5321hdfd78af_4 |
| kallisto | 11M | kallisto:0.46.2--h4f7b962_1 |
| - | - | - |
| Total: | 4081M | - |
Here are more details on the tools in each mulled container:
- bowtie2_samtools: bowtie2=2.4.4, samtools=1.13
- r_basic: r-base=4.1.3, r-magrittr=2.0.3, r-dplyr=1.0.9, r-purrr=0.3.4, r-ggplot2=3.3.5, r-data.table=1.14.2
- samtools_bedtools_perl: samtools=1.15.1, bedtools=2.30.0, perl=5.32.1
- skewer_pigz: skewer=0.2.2, pigz=2.6
- bioconductor: r-base=4.3, bioconductor-chipseeker=1.36.0, r-magrittr=2.0.3, bioconductor-genomicfeatures=1.52.1, bioconductor-clusterprofiler=4.8.1, bioconductor-annotationdbi=1.62.2, r-purrr=1.0.2, r-ggplot2=3.4.4
- diffbind: bioconductor-diffbind=3.4.0, bioconductor-csaw=1.28.0, bioconductor-edger=3.36.0, r-optparse=1.7.1
- figures: r-base=4.3, r-ggplot2=3.4.4, r-magrittr=2.0.3, r-gridextra=2.3, r-rcolorbrewer=1.1_3, r-data.table=1.14.8
- differential_abundance: r-base=4.1.3, bioconductor-diffbind=3.4.11, r-sleuth=0.30.0, r-ggplot2=3.3.5, r-magrittr=2.0.3, r-openxlsx=4.2.5