Rendered from
QuESTr.Rmdusingknitr::rmarkdownPackage: QuESTr 0.1.1
Takahiko Koizumi
QuESTr: Constructing Quantitative Environment Sensor using Transcriptomes
A method for prediction of environmental conditions based on transcriptome data linked with the environmental gradients. This package provides functions to overview gene-environment relationships, to construct the prediction model, and to predict environmental conditions where the transcriptomes were generated. This package can quest for candidate genes for the model construction even in non-model organisms' transcriptomes without any genetic information.
Authors:
QuESTr_0.1.1.tar.gz
QuESTr_0.1.1.tar.gz(r-4.7-any)QuESTr_0.1.1.tar.gz(r-4.6-any)
QuESTr_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
QuESTr/json (API)
| # Install 'QuESTr' in R: |
| install.packages('QuESTr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/takakoizumi/questr/issues
Datasets:
- Pinus - Transcriptomes of Pinus roots under a Temperature Gradient
Last updated from:dbeb2497dc. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 156 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 154 | ||
| wasm-release | OK | 108 |
Exports:q.cleanq.optq.pcaq.rankq.sortquest
Dependencies:clicpp11farverggplot2gluegtableisobandkernlablabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
