<｜begin▁of▁sentence｜>### Instruction:
Given the Condensed Matter collaborations 2005 graph stored in a GML file named cond-mat-2005.gml, can you use the siblinarity_antichain function in cdlib to perform community detection using a directed acyclic graph approach? Furthermore, how can you generate a JSON representation of the detected community structure?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the condensed matter collaborations 2005 graph
G = nx.read_gml('cond-mat-2005.gml')

# Perform community detection using Siblinarity Antichain algorithm
coms = algorithms.siblinarity_antichain(G, Lambda=1)

# Convert the community structure to JSON
coms_json = coms.to_json()

print(coms_json)
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