Gaussian Mixture Model and Proportion Test
98
GMAP is an algorithm to call topologically associating domains (TAD) and subdomains (subTAD) from Hi-C data. It is implemented as a R package rGMAP.
10 11 1.15
10 15 1.89
15 20 2.20
......
A 4-columns tab delimited index file for hic bin (chromosome start end bin_id) in 10kb resolution:
chr1 0 10000 1
chr1 10000 20000 2
chr1 20000 30000 3
......
RESOLUTION: resolution of hic bin, default 40000
Other optional parameters for rGMAP (see following usage example)
Install docker
Put both input hic_file and index_file in current directory, and run the following command:
docker run -v "$PWD":/home/rgmap tanlabcode/gmap:firstpush Rscript --vanilla /home/rgmap/test_rgmap.R -p YOUR_HIC_FILE_NAME -i YOUR_HIC_BIN_INDEX_FILE_NAME -r YOUR_HIC_DATA_RESOLUTION -m 20 -M 100 -d 2
The identified tads and sub-tads were saved in your current directory named "tads_withLevel.txt"
The detailed information of GMAP algorithm is described in the following paper:
Yu, W., He, B., & Tan, K. (2017). Identifying topologically associating domains and subdomains by Gaussian Mixture model And Proportion test. Nature Communications, 8, 535.
Content type
Image
Digest
Size
462.8 MB
Last updated
over 7 years ago
docker pull tanlabcode/gmap:firstpush