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Clinical Sequencing
- Overview
- Guides
- Data Products
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Build Processes
- Summarize Builds
- Import SNVs and Indels
- Get Variant Sources
- Create Mutation Diagrams
- Tophat Junctions Absolute
- Cufflinks Expression Absolute
- Chimerascan Intersect SV
- Dump IGV XML
- Generate Clonality Plots
- Run CopyNumber View
- Run Microarray CNV
- Run Exome CNV
- Summarize CNVs
- Summarize SVs
- Annotate Genes by Category
- DGIdb Gene Annotation
- Summarize Tier 1 SNV Support
- Make Circos Plot
- Converge SNV Indel Report
- Tutorials
- Known Issues
The Clinical Sequencing pipeline ("ClinSeq") is a post-processing and reporting layer that summarizes the analyses that have been performed on a dataset.
All of the following inputs are optional. The pipeline will produce reports based on what inputs are available.
A Somatic Variation model with whole-genome data.
A Somatic Variation model with exome data.
An RNA-seq model for the "tumor" data.
An RNA-seq model for the "normal" data.
A Differential Expression model comparing the Tumor and Normal RNASeq data.
Annotation and gene ID mapping files to help map to Entrez/Ensembl/UCSC IDs.
Contains BreakAnnot data and additional annotation files for Copy Number analysis.
A local copy of COSMIC, the "Catalogue of Somatic Mutations in Cancer".
A boolean flag. If set it will allow analysis of data that appears to not match--that is, to be from different patients or otherwise discrepant sources.
The ClinSeq pipeline dynamically generates its Workflow based on the supplied inputs. The following processes are available:
This step produces a textual report summarizing information in the builds which are inputs to the ClinSeq build.
This step takes the SNVs and Indels from the Somatic Variation build inputs and reformats and merges the files for subsequent processing.
This step attempts to determine which variant caller generated each variant call in its Somatic Variation build inputs.
This step produces mutation-spectrum plots based on the Somatic Variation build inputs.
This step takes the Tophat Junctions from the RNA-Seq build inputs and reformats the files.
This step takes the Cufflinks output from the RNA-Seq build inputs and creates several derivative files.
This step intersects the fusion calls from the RNA-Seq build with the SV calls from the Whole-Genome Somatic Variation build.
This step produces IGV session files for convenience in viewing the dataset.
This step produces Clonality plots from the Whole-Genome Somatic Variation build.
This step uses the clonality analysis above to produce a Copy Number report using R.
This step attempts to grab Genotype Microarray models for the data set and queries their last complete builds to produce a Copy Number report.
This step produces Copy Number plots for the exome data.
This step produces a summary using the output from Run CopyNumber view.
This step produces a summary of SVs from the Whole-Genome Somatic Variation build.
This step categorizes (e.g. kinase) the genes in the variants.
This step produces a DGIdb gene annotation report containing known drug interactions.
This step runs BAM-readcount.
This step produces a circos plot from the available variant data. (At a minimum the Whole Genome Somatic Variation build must be present to run this step.)
This step runs several R scripts and the annotator to produce reports.
Under development
Under development