Bioconductor Packages

ODE add-on to CellNOptR

Convert segment data into a region by sample matrix to allow for other high level computational analyses.

Reliable CNV detection in targeted sequencing applications

Summarization and expression/phenotype association of CNV ranges

Identifies false positives of CNV calling tools by using SNV calls

Copy Number Visualization

CNVrd2: a read depth-based method to detect and genotype complex common copy number variants from next generation sequencing data.

Coordinate Covariation Analysis

A Normalization and Copy Number Variation Detection Method for Whole Exome Sequencing

Combinatorial Polyfunctionality Analysis of Single Cells

Cell OrderiNg by FluorEScence Signal

Data normalization by matrix raking

COexpression Tables ANalysis

Shiny Application for Interactive CRISPR Screen Visualization, Exploration, Comparison, and Filtering

Design of guide RNAs in CRISPR genome-editing systems

CRImage a package to classify cells and calculate tumour cellularity

Statistical tools for the analysis of ChIP-seq data

Calculate per-cell gene signature scores in scRNA-seq data using cell set overlaps

Chip-seq Signal Quantifier Pipeline

Package for CTDbase data query, visualization and downstream analysis

Identification of cell-type-specific spatially variable genes accounting for excess zeros

Data companion to CTexploreR

Explores Cancer Testis Genes

Candidate Driver Analysis

Calibration curves for targeted proteomics, lipidomics and metabolomics data

A mass spectrometry imaging toolbox for statistical analysis

Read and write mass spectrometry imaging files

This package provides methods for analysing spatial transcriptomics data and for discovering gene clusters

Causal network analysis methods

Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis

Cellular DNA Barcode Analysis toolkit

Construct Benchmarks for Single Cell Analysis Methods

Predict genes expressed selectively in specific cell types

Supervised Non-negative Matrix Factorization for Dimensional Reduction in Single-Cell Analysis

Evaluate Cellspecific Mixing

Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Reconstruction, visualization and analysis of branching trajectories

Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis

Cepo for the identification of differentially stable genes

An R package to uncover high-resolution protein-DNA interactions in ChIP-exo replicates

Chip Analysis Methylation Pipeline for Illumina HumanMethylation450 and EPIC

Quantitative comparison of multiple ChIP-seq datasets

Quality metrics for ChIPseq data

ChIPXpress: enhanced transcription factor target gene identification from ChIP-seq and ChIP-chip data using publicly available gene expression profiles

ChIPanalyser: Predicting Transcription Factor Binding Sites

ChIPexoQual

Batch annotation of the peaks identified from either ChIP-seq, ChIP-chip experiments, or any experiments that result in large number of genomic interval data

ChIPseeker for ChIP peak Annotation, Comparison, and Visualization

Identifying Protein Binding Sites in High-Throughput Sequencing Data

Simulation of ChIP-seq experiments