Bioconductor Workflow Packages
Bioconductor version: 3.8
Package | Maintainer | Title |
---|---|---|
annotation | Bioconductor Package Maintainer | Genomic Annotation Resources |
arrays | Bioconductor Package Maintainer | Using Bioconductor for Microarray Analysis |
BiocMetaWorkflow | Mike Smith | BioC Workflow about publishing a Bioc Workflow |
chipseqDB | Aaron Lun | From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq data |
cytofWorkflow | Malgorzata Nowicka | CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets |
EGSEA123 | Matthew Ritchie | Easy and efficient ensemble gene set testing with EGSEA |
eQTL | Vincent Carey | Cloud-enabled cis-eQTL searches with Bioconductor GGtools 5.x |
ExpressionNormalizationWorkflow | Karthikeyan Murugesan | Gene Expression Normalization Workflow |
generegulation | Bioconductor Package Maintainer | Finding Candidate Binding Sites for Known Transcription Factors via Sequence Matching |
highthroughputassays | Bioconductor Package Maintainer | Using Bioconductor with High Throughput Assays |
liftOver | Bioconductor Package Maintainer | Changing genomic coordinate systems with rtracklayer::liftOver |
maEndToEnd | Bernd Klaus | An end to end workflow for differential gene expression using Affymetrix microarrays |
methylationArrayAnalysis | Jovana Maksimovic | A cross-package Bioconductor workflow for analysing methylation array data. |
proteomics | Laurent Gatto | Mass spectrometry and proteomics data analysis |
recountWorkflow | Leonardo Collado-Torres | recount workflow: accessing over 70,000 human RNA-seq samples with Bioconductor |
RNAseq123 | Matthew Ritchie | RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR |
rnaseqDTU | Michael Love | RNA-seq workflow for differential transcript usage following Salmon quantification |
rnaseqGene | Michael Love | RNA-seq workflow: gene-level exploratory analysis and differential expression |
RnaSeqGeneEdgeRQL | Yunshun Chen | Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipeline |
sequencing | Martin Morgan | Introduction to Bioconductor for Sequence Data |
simpleSingleCell | Aaron Lun | A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor |
TCGAWorkflow | Tiago Chedraoui Silva | TCGA Workflow Analyze cancer genomics and epigenomics data using Bioconductor packages |
variants | Bioconductor Package Maintainer | Annotating Genomic Variants |