AnCorr
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Application data |
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| Created by | Kravatsky YV, Chechetkin VR, Kravatskaya GI |
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| Biological application domain(s) | Genomics |
| Principal bioinformatics method(s) | Correlation, Statistical calculation |
| Technology | Any |
| Created at | Engelhardt Institute of Molecular Biology RAS |
| Maintained? | Yes |
| Input format(s) | TXT, BED, GFF, WIG, BigWig, BEDGraph, SAM, BAM, ELAND |
| Output format(s) | HTML, Table, Graphics (png) |
| Software features | Easy-to-use point-and-click web interface with context help |
| Programming language(s) | Perl, C, CGI, PHP, JavaScript |
| Resource type(s) | Web service |
| Software libraries | None required for the Web interface. |
| Licence | free for non-commercial academic research |
| Operating system(s) | Cross-Platform |
Summary: Webserver/tool for evaluation coordinate and ordinal correlations between genomic tracks and/or expression or protein binding profiles.
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Description
AnCorr is based on the original statistical algorithm that uses analytical criteria. Our analytical criteria proved to be robust against the inhomogeneous distribution of lengths corresponding to genome tracks, which is typical of genetic problems. The analytical criteria significantly shorten the time of computational analysis and permit the study of larger data sets in comparison with MC/shuffling simulations. The results are displayed as coloured HTML table and a set of graphics charts: 2 histograms and scatterplot. AnCorr is an efficient tool for the study of correlations between genome features with useful applications to many genetic problems. The study of correlations between genome tracks may shed light on the intricate regulation networks in the different organisms.
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References
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