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fission

Bioc current

RangedSummarizedExperiment for time course RNA-Seq of fission yeast in response to stress, by Leong et al., Nat Commun 2014.

v1.32.0 · experiment · LGPL

Release Lineage

Entered 3.0 · Oct 14, 2014

Current · Requires R 4.6

1.0 In 24 of 49 releases 3.23

Description

This package provides a RangedSummarizedExperiment object of read counts in genes for a time course RNA-Seq experiment of fission yeast (Schizosaccharomyces pombe) in response to oxidative stress (1M sorbitol treatment) at 0, 15, 30, 60, 120 and 180 mins. The samples are further divided between a wild-type group and a group with deletion of atf21. The read count matrix was prepared and provided by the author of the study: Leong HS, Dawson K, Wirth C, Li Y, Connolly Y, Smith DL, Wilkinson CR, Miller CJ. "A global non-coding RNA system modulates fission yeast protein levels in response to stress". Nat Commun 2014 May 23;5:3947. PMID: 24853205. GEO: GSE56761.

Code intelligence has not been computed for this package yet.

Code

Structure

Lines of code

148

Files

8

Compiled share

0%

Has compiled src

No

Language breakdown

Docs 38 (25.7%)Vignettes 110 (74.3%)

API

Exported functions

0

Internal functions

0

Testing & CI

Has tests

No

Test-to-code ratio

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10

System requirements

C++ standard

License

LGPL

License flags

not SPDX, not OSI

History

Versions

24

First release

2014-12-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.0: 148 LOCv3.1: 148 LOCv3.2: 148 LOCv3.3: 148 LOCv3.4: 148 LOCv3.5: 148 LOCv3.6: 148 LOCv3.7: 148 LOCv3.8: 148 LOCv3.9: 148 LOCv3.10: 148 LOCv3.11: 148 LOCv3.12: 148 LOCv3.13: 148 LOCv3.14: 148 LOCv3.15: 148 LOCv3.16: 148 LOCv3.17: 148 LOCv3.18: 148 LOCv3.19: 148 LOCv3.20: 148 LOCv3.21: 148 LOCv3.22: 148 LOCv3.23: 148 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Topics

Depended on by (2)

Bioconductor (2)

People

Michael Love

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