MD Anderson Cancer Center - Dept. of Bioinformatics and Computational Biology's Projects
R package for approximate hierarchical clustering.
Docker Compose Stack for running Batch Effects Interface
The MBatch R package and Docker image are designed to help assess and correct for batch effects.
Data Repo for BatchEffectsPackage
Documentation for GitLab CI/CD with Docker
DataAPI is a project for accesing and viewing the data and analysis (particulary of Batch Effects) of large datasets in Standardized Data format.
A GenePattern module to build NGCHM in GenePattern notebook
A GenePattern Module to view NGCHM in GenePattern Notebook
Gene Survey R package - take TCGA Standardized Data and make gene level cross-disease and sometimes cross platform comparisons and evaluations simpler to perform
The GSAccess application provides a Java link between the data and the Gene Survey R package
Lightweight node.js based web service that provides user authentication against LDAP server (Active Directory / Windows network) credentials and returns a JSON Web Token.
Superseded by https://github.com/MD-Anderson-Bioinformatics/BatchEffectsPackage
Superseded by https://github.com/MD-Anderson-Bioinformatics/BatchEffectsPackage
Turnkey Docker Stack system for evaluating and visualizing batch effects in metabolomics data, with the ability to download data from Metabolomics Workbench for analysis.
Web application for viewing metabolomics batch effects analyses, as seen at https://bioinformatics.mdanderson.org/MOB/
A dynamic, graphical environment for exploration of clustered or non-clustered heat map data in a web browser.
Next-Generation Clustered Heat Maps for Galaxy
Simple graphical builder for Next-Generation Clustered Heat Maps
An R library for creating Next-Generation Clustered Heat Maps (NG-CHM)
Demo Data for NGCHM R package.
Support files for NGCHM-R package
An interactive and collaborative graphical curation tool for cancer pathways
R package wrapped around C++ used to quickly read very large "platform" level matrices from within a ZIP archive
Reverse-Phase Protein Array Super Position and Concentration EvaluationThe RPPASPACE R package provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as "tissue lysate arrays" or simply "lysate arrays". The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package called SuperCurve. For a detailed description of data inputs and outputs and usage information see the vignette "Guide_to_RPPASPACE".
rstudio with preinstalled NGCHM R library