Explore projects
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EcoEpi / multi-pathogen-sampling
GNU General Public License v3.0 or laterOptimal sampling for multiple plant pathogens with equivalent matrices and reusable samples
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Christoph Schürz / SWATmeasR
GNU General Public License v3.0 onlyUpdated -
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Thomas Shatwell / seefo
GNU General Public License v3.0 onlyUpdated -
Lambda-Miner / defendeR
OtherDetection and Exclusion of False-positive assignments via Distributions in mass ERrors
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Afid Nur Kholis / mHM_SLI
GNU General Public License v3.0 or laterUpdated -
iTox / toxprofileR2
GNU General Public License v3.0 onlyUpdated -
Workflows for the analysis of several cell-based bioassays.
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Mehmet Cüneyd Demirel / mhm
GNU General Public License v3.0 onlyThe mesoscale Hydrological Model -- mHM
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Daniel Graeber / Long term nutrient ratio to chlorophyll a relationships in shallow lakes
BSD 3-Clause "New" or "Revised" LicenseUpdated -
WANA_public / MZquant
GNU Affero General Public License v3.0Updated -
Isabel Karkossa / proteomicsr
MIT LicenseProvided are functions suitable for the analysis of mass spectrometry-based proteomics data, providing global information on protein abundance and abundances of post-translational modifications (PTMs). However, at least in parts, this package can be also used to analyse other omics, e.g. metabolomics and transcriptomics. The package includes processing of fold changes (e.g. from TMT or SILAC experiments) and intensities (e.g. from LFQ experiments). Processing includes checking reproducibility (PCAs, correlation bubble plots, sample-2-sample distance plots), identification of outliers (based on Mahalanobis distance), log2 transformation, median normalization, filtering for reliably identified proteins/sites, variance stabilization (based on the 'DEP' package), imputation (based on the 'DEP' package), calculation of average log2(fold changes), p-values, and adjusted p-values. These basic results are visualized (volcano plots, stacked bar charts of significant changes, numbers of identified proteins). Enrichment analyses (using 'clusterProfiler') are conducted based on the gene sets stored in the MSigDB (using 'msigdbr') and are visualized subsequently. Also enrichment results obtained using the 'Ingenuity Pathway Analysis' tool (Qiagen) are visualized. Weighted Gene Correlation Network Analysis ('WGCNA', including module formation, module-trait correlation, identification of hub genes/key drivers, visualization of results) is conducted. For PTM data, site intensities are extracted based on Proteome Discoverer's Peptide Isoform table. Furthermore, kinase enrichment for phosphoproteomics data using 'KinSwingR' can be conducted.
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Daniel Graeber / Leaf litter degradation under multiple stress
BSD 3-Clause "New" or "Revised" LicenseUpdated -
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Daniel Graeber / Alternative stable states do not stand the test of time
BSD 3-Clause "New" or "Revised" LicenseUpdated -
Xiangjin Meng / mHM
GNU General Public License v3.0 or laterThe mesoscale Hydrological Model - mHM
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