hic2cool converts Juicer `.hic` contact matrices into Cooler `.cool` or multi-resolution `.mcool` files and supports normalization-vector migration and extraction. Use when users need hic-to-cool conv
Use with AI
Install the MCP server or CLI to instantly fetch hic2cool documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/hic2cool
CNVnator — read-depth (RD) based copy number variation (CNV) detection from whole-genome sequencing BAM/CRAM files. Partitions the genome into equal-size bins, computes normalized read-depth signals,
2 shared topics • 1 shared operation
FAN-C is a Python framework for analysis, visualization, and exploration of Hi-C and related chromatin conformation capture data. Provides a unified API for importing, processing, and analyzing Hi-C c
2 shared topics • 1 shared operation
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2 shared topics • 1 shared operation
HiC-Pro is an all-in-one pipeline for processing Hi-C sequencing data from raw FASTQ files to normalized contact matrices. Performs read alignment with Bowtie2, restriction-fragment assignment, valid-
2 shared topics • 1 shared operation
Use when working with STARR-seq (Self-Transcribing Active Regulatory Region sequencing) data analysis. STARRpeaker calls enhancer peaks from STARR-seq BAM files using negative binomial regression to a
2 shared topics • 1 shared operation