参考资料:
软件安装
conda create -n higlass python=3.8
pip install jupyter higlass-python
jupyter nbextension install --py --sys-prefix --symlink higlass
jupyter nbextension enable --py --sys-prefix higlass
启动 jupyter notebook
jupyter notebook
Examples
chromosome-annotate + gene-annotate + bar-plot + bed-region + 2d-heatmap
截屏2021-08-10 下午6.44.43.png45-rotated-heatmap + bed-region + line-plot
截屏2021-08-10 下午6.43.59.pngTracks
import higlass
from higlass.client import View, Track
from higlass.tilesets import cooler, chromsizes, beddb, bigwig, bigbed
track:chromsome-annotate
(mm10)
track_chrom = Track(
position = 'top',
track_type = 'horizontal-chromosome-labels',
tilesetUid = "EMo5uFThS5S263tNLbzeVw",
server = "https://higlass.4dnucleome.org/api/v1",
)
### track: gene-annotate
```python
track_gene = Track(
position = 'top',
track_type = "horizontal-gene-annotations",
tilesetUid='OHJakQICQD6gTD7skx4EWA',
server='https://higlass.io/api/v1',
height=100,
)
track: 2d-heatmap
hic = cooler('4DNFITHTURR9.mcool')
track_hic = Track(
position = 'center',
track_type = 'heatmap',
tileset = hic
)
45-rotated-heatmap
hic = cooler('output/agg_contact_matrix/Nagano_129G1_chr19.1000.mcool')
track_hic = Track(
position = 'top',
track_type = "horizontal-heatmap",
tileset = hic,
height=200,
options = {
'name': 'Pool of 129 G1 cells',
"labelPosition": "topLeft",
}
)
2d-domain (TAD)
数据预处理: BED → BEDPE-like file
clodius aggregate bedpe \
--chromsizes-filename galGal6.chrom.sizes \
--chr1-col 1 --chr2-col 1 \
--from1-col 2 --to1-col 3 \
--from2-col 2 --to2-col 3 \
domain.bed
得到 domain.bedpe.beddb
domain = beddb('domain.bedpe.beddb')
track_domain = Track(
position = 'top',
track_type = 'bedlike',
tileset = domain,
height=50
)
bed region
数据预处理:BED → BED-like file
clodius aggregate bedfile \
--chromsizes-filename ${chrsize_file} \
boundary.bed
得到 boundary.bed.beddb
domain_boundary = beddb('boundary.bed.beddb')
track_domain_boundary = Track(
position = 'top',
track_type = 'bedlike',
tileset = domain_boundary,
height=40,
options = {
"name": 'TopDom domain boundary',
"labelPosition": "topLeft",
"fillColor": "red"
}
)
line plot
数据预处理:BEDGRPAH → BIGWIG
in_bedgraph=boundary_freq.bedgraph
out_bigwig=boundary_freq.bigwig
bedGraphToBigWig ${in_bedgraph} ${chrsize_file} ${out_bigwig}
得到 boundary_freq.bigwig
f = open('/Users/ziyin/Documents/Lab/project/scHiC/data/reference/mm10.chrom.sizes')
chromsizes = []
for line in f.readlines():
row = line.strip().split('\t')
chromsizes.append( (row[0], int(row[1]) ) )
ts = bigwig(boundary_freq.bigwig, chromsizes=chromsizes)
track = Track(
position = 'top',
track_type = 'line',
tileset = ts,
height=80,
options = {
"name": mode,
"labelPosition": "topLeft",
"lineStrokeColor": 'red',
"trackBorderWidth": 1,
"trackBorderColor": "gray",
}
)
bar-plot
comaprtment = bigwig('4DNFI9685Y2G.bw')
track_compartment = Track(
position = 'top',
track_type = 'divergent-bar',
tileset = comaprtment,
height = 50,
)
Plot
view = View(
[
track_hic,
track_domain,
track_chrom,
track_gene_annotation,
],
chrominfo = track_chrom,
initialXDomain = [0, 10000000],
initialYDomain = [0, 10000000],
)
display, server, viewconf = higlass.display([view])
display
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