The genome-wide chromosome conformation capture (Hi-C) has revealed that the eukaryotic genome can be partitioned into A and B compartments that have distinctive chromatin and transcription features. Current Principle Component Analyses (PCA)-based method for the A/B compartment prediction based on Hi-C data requires substantial CPU time and memory. We report the development of a method, CscoreTool, which enables fast and memory-efficient determination of A/B compartments at high resolution even in datasets with low sequencing depth.

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene

Bases are called using Illumina pipeline Casava 1.8.Reads are mapped to the drosophila genome using Tophat2. Refseq annotations of known exon junctions are provided with -G option.Number of reads on each gene were counted using custom script, and differentially expressed genes were called using edgeR.Genome_build: Dm3Supplementary_files_format_and_content: tab-delimited text file listing the number of reads on each gene