NCIP/Trinity_CTAT

Name: Trinity_CTAT

Owner: National Cancer Informatics Program

Description: null

Created: 2014-10-14 17:31:00.0

Updated: 2018-01-09 06:39:40.0

Pushed: 2017-11-08 17:14:40.0

Homepage: null

Size: 8788

Language: Python

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README

Trinity Cancer Transcriptome Analysis Toolkit (CTAT)

The Trinity Cancer Transcriptome Analysis Toolkit (CTAT) aims to provide tools for leveraging RNA-Seq to gain insights into the biology of cancer transcriptomes. Bioinformatics tool support is provided for mutation detection, fusion transcript identification, de novo transcript assembly of cancer-specific transcripts, lincRNA classification, and foreign transcript detection (viruses, microbes). CTAT is funded by the National Cancer Institute Informatics Technology for Cancer Research (NCI ITCR) program. CTAT software tools and pipelines are made available here and are most easily accessible for point-and-click execution via our Trinity CTAT Galaxy Portal: https://galaxy.ncgas-trinity.indiana.edu.

For a description of the modules in Trinity CTAT, please visit.

Download Trinity CTAT Code using GIT with the following command, each module will have it's own installation instructions.

clone --recursive https://github.com/NCIP/Trinity_CTAT.git

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.