Omics Data Process Toolbox
Overview
Processing and analyzing omics data from genomics, transcriptomics, proteomics, and metabolomics platforms. It provides functions for preprocessing, normalization, visualization, and statistical analysis, as well as machine learning algorithms for predictive modeling. 'omicsTools' is an essential tool for researchers working with high-throughput omics data in fields such as biology, bioinformatics, and medicine.The QC-RLSC (quality control–based robust LOESS signal correction) algorithm is used for normalization. Dunn et al. (2011) doi:10.1038/nprot.2011.335.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE13 OK, 1 NOTE2026-03-10
Documentation
- Help pages
- 38 (1 internal)
- Examples that run
- 79%22 run in a plain check · 6 never run
- Exported functions with examples
- 76%
- Documented parameters
- 100%
- Return-value docs
- 92%
- Help pages citing references
- 3%
Downloads
Dependencies
Installing omicsTools adds 140 packages (64 with compiled code, 113 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Code & Tests
Datasets
People & History
Show 3 peopleHide 3 people
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.1.7Latest2025-12-16 · current release · diff ↗ ·
removed 2 exports
impute, normalizeadded 35 exports
calculate_cooks_distance, calculate_lof, calculate_measures, calculate_qc_rsd, check_and_sort_columns, check_match, combine_logical_tibbles, convert_mrm_data, convert_to_binary_matrix, createOmicsData, define_thresholds, detect_duplicates, ensure_enough_sets_for_upset, flag_anomalies, flag_underexpressed_features, generate_data_with_anomalies, generate_process_report, handle_missing_values, initialize_results_df, internal_standard_normalize, load_parse_sciex_txt, ms1_annotation, perform_batch_assessment, perform_feature_selection, pieDraw, plot_distribution_measures, plot_lipid_data_summary, plot_met_data_summary, plot_sample_measures, pqn_normalize and 5 more - RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.52023-07-03
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-07-03
- Total releases
- 2 / 3 yrs
- License
- AGPL (>= 3) OSI · relicensed from MIT + file LICENSE in 1.1.7
- Minimum R
- ≥ 4.1.0
- Download size
- 564 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("omicsTools")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.