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Tampa, Moffitt Cancer Center, Shaw Immuno Systems Biology Lab's Projects

berlin icon berlin

BERLIN: Basic Exploration of single-cell RNAseq data and LINeages.

chromosomemappings icon chromosomemappings

This repository contains chromosome/contig name mappings between UCSC <-> Ensembl <-> Gencode for a variety of genomes.

drppm icon drppm

Integrated software for processing omics data.

drppm-easy-ccle icon drppm-easy-ccle

This is an extension of the DRPPM-EASY app integrating Cancer Cell Line Encyclopedia (CCLE) data for seamless differential gene expression and GSEA based on user sample selection

drppm-easy-expranalysisshiny icon drppm-easy-expranalysisshiny

With a few steps this workflow will allow for easy preparation of an R Shiny webpage for differential gene expression and gene set enrichment analysis

drppm-easy-integration icon drppm-easy-integration

This is an extension of the DRPPM-EASY app, allowing for further integration of data and matrices comparison with differential gene expression and GSEA

drppm-easy-largeproject icon drppm-easy-largeproject

As an extension of the DRPPM EASY app, this "Large Project" version allows users to analyze data from large studies and consortiums such as CCLE and CPTAC and perform custom differential gene expression and pathway analysis

drppm-path-surveior icon drppm-path-surveior

Survival Analysis through the integration of expression data, phenotype data, and clinical data

drppm-path-surveior-pipeline icon drppm-path-surveior-pipeline

As part of the DRPPM-PATH-SURVEIOR family, this pipeline aims to identify top pathways and genes that are significant in High-Risk patients

drppm-preranked-gsea icon drppm-preranked-gsea

As part of the DRPPM-PATH-SURVEIOR family, this R Shiny app aims to perform GSEA with a pre-ranked set of genes determined by hazard ratio

drppm-splice-wrap-tutorial icon drppm-splice-wrap-tutorial

DRPPM is a library collection of scripts for analyzing DNA/RNA/Proteome/Post-translational Modifications. This is an example of the pipeline being utilized for USP7 Knockdown RNAseq data.

markdown_readme icon markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

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