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lsbnb/mysort_2022

By lsbnb

Updated about 4 years ago

Using Deconvolution Approach to Estimating Immune Cell Composition from Transcriptome

Image
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lsbnb/mysort_2022 repository overview

Before your Journey, please prepare your expression file in gene symbols (like AIM2, TCL1A..). If you have raw reads in hands, you may consider to generate the FPKM file via web interface in our galaxy docker, docexpress_fastqc.

The demo site for this docker image also can be found at http://mysort.iis.sinica.edu.tw.

We also have a previous version of mySort on galaxy/Docker with less functionality available at Galaxy_mySROT.

Installation

Step 0. Install the Docker engine and start the daemon.

Step 1. Pull down Galaxy Docker image from Docker Hub.

docker pull lsbnb/mysort_2022

Step 2. Run the Docker container and set port numbers for network accessibility.

docker run --name=mysort -dti -p 8080:80 lsbnb/mysort_2022 /bin/bash

docker exec mysort apachectl start

Step 3. Launch localhost with port 8080 in a browser. (http://127.0.0.1:8080 or http://localhost:8080)

Step 4. Click the demo buttom on the website or run the built-in workflow with example dataset to have a testrun.


The workflow from Raw reads to deep analysis on immune cell composition for each sample or group

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Citation

  1. Shu-Hwa Chen, Wen-Yu Kuo, Sheng-Yao Su, Wei-Chun Chung, Jen-Ming Ho, Henry Horng-Shing Lu and Chung-Yen Lin. A gene profiling deconvolution approach to estimating immune cell composition from complex tissues. BMC Bioinformatics. 2018 May 8;19(Suppl 4):154. doi: 10.1186/s12859-018-2069-6.

Tag summary

Content type

Image

Digest

sha256:2df6d3f0b

Size

1 GB

Last updated

about 4 years ago

docker pull lsbnb/mysort_2022