Brief Introduction of the Human Genomic Melting Map Project
The human genomic melting map is a calculated representation of cooperativity in the human genome. This implies that it provides information with respect to the probability that a DNA bubble is formed, thus providing single stranded DNA to be accessible for cellular functions. The map was established in order to provide a resource for the community to explore its biological content further. Please contact Eivind Hovig for further inquiries regarding these matters. Presently, we only provide the human genome in its hg17 incarnation, i.e. the May 2004 version. We will update with the latest release, once calculation has been completed.
The group has had a long standing interest in methods for mutation detection, and has published a significant body of papers on variations of denaturing gradient gel electrophoresis to this end. Presently, the methodology is developed for capillary electrophoresis using a cycling temperature system, for robust, cheap and fast assays using standard sequencing machines. This work has proven to us (and others) that prediction algorithms for DNA denaturation is well founded.
The source code (Fortran) is available upon request to Eivind
Hovig, and is released under the GNU GPL license. It may
be used to run chromosome length calculations. It is based on the MELT87
program, by Leonard S. Lerman, implementing the
This tool is made available to derive a parameter set for the
We here provide the raw data of the melting map, for download and further use by others. The format is compressed plain text files (chr*.txt.bz2).
This resource provides functionality for browsing the actual melting profile for a given sequence of the human DNA. The graphics are handled by SVG, thus a plugin may be required, depending on your browser. Most browsers now are able to handle SVG by default.
We have also made available a possibility to use the melting map data with the Ensembl browser as a DAS source. As the data do not represent the current version of the genome, it is necessary to follow the instructions provided to view the archived version of the genome with Ensembl.
We here provide the inputs for the analysis described in the paper, and output where relevant.