ChromeBat

ChromeBat reconstructs three-dimensional genome structures from genome-wide Hi-C contact data derived from Next Generation Sequencing to address the Three Dimensional Genome Reconstruction Problem and enable analysis of genome conformation related to regulation and transcription.

Key Features:

• Bio-Inspired Algorithm: Implements the Bat Algorithm, an optimization method inspired by bat echolocation, to solve the Chromosome and Genome Reconstruction problem.
• State-of-the-Art Performance: Demonstrates superior performance on real Hi-C datasets for reconstructing genome structures.
• Empirical Data Utilization: Uses empirical genome interaction measures from Hi-C experiments and genome-wide contact data generated by Next Generation Sequencing.

Scientific Applications:

• Genomic Regulation and Transcription Studies: Enables investigation of how three-dimensional genomic conformation influences regulatory mechanisms and transcription.
• Structural Genomics: Facilitates exploration of chromosomal architecture and spatial genome organization within the nucleus.

Methodology:

Processes Hi-C contact data and models three-dimensional chromosome arrangements using the Bat Algorithm, simulating bat echolocation and iteratively refining structures to align with empirical contact data.