Comprehensive representations of human chromosomes combining diverse genomic data sets, localizing expressed sequences, and reflecting physical distance are essential for disease gene identification and sequencing efforts. We have developed a method (CompView) for integrating genomic information derived from available cytogenetic, genetic linkage, radiation hybrid, physical, and transcript-based mapping approaches. CompView generates chromosome representations with substantially higher resolution, coverage, and integration than current maps of the human genome. The CompView process was used to build a representation of human chromosome 1, yielding a map with >13,000 unique elements, an effective resolution of 910 kb, and a marker density of 50 kb. CompView creates comprehensive and fully integrated depictions of a chromosome's clinical, biological, and structural information.