Visual self-service analytics platform for big omics data.
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Updated
Jul 22, 2024 - R
Visual self-service analytics platform for big omics data.
Semi-Supervise cellular deconvolution of Bulk RnaSeq using NMF and CiberSortx, DCQ or others
The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.
Characterize A-to-I RNA editing in bulk and single-cell RNA sequencing experiments
Useful R functions for Multi-omics analyses
Bulk RNA-seq deconvolution and benchmarking using single-cell reference profiles
A collection of R functions to aid in host-pathogen genomic research
RNA-seq analysis modules to add to a teal application
A collection of R functions to aid in host-pathogen genomic research
Reference-guided transcript discovery and quantification for long read RNA-Seq data
pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Interactive Differential Expression AnaLysis - DE made accessible and reproducible
Differential gene expression analysis for samples with replicates using STAR-DeSeq2 pipeline
Data-driven Network-based Bayesian Inference of Drivers
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
Automatic RNA-Seq Pipelines with Interactive Report
Curated and harmonised transcriptomics datasets of interstitial lung disease patients
Single Cell RNA-seq analysis of Persister Cells to unearth key stress pathways and core, differential genes of those respective pathways
Workflow for differential gene expression analysis for non-replicate samples using DEGseq
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