Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks

Background: Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser, and then extract other genomic regions over the whole genome where such patterns occur, ranked by similarity. Results: We developed SimSearch, an optimized pattern-search method and an open source plugin for the Integrated Genome Browser (IGB), to find genomic region sets that are similar to a given region pattern. It provides efficient visual genome-wide analytics computation in large datasets; the plugin supports intuitive user interactions for selecting an interesting pattern on IGB tracks and visualizing the computed occurrences of similar patterns along the entire genome. SimSearch also includes functions for the annotation and enrichment of results, and is enhanced with a Quickload repository including numerous epigenomic feature datasets from ENCODE and Roadmap Epigenomics. The paper also includes some use cases to show multiple genome-wide analyses of biological interest, which can be easily performed by taking advantage of the presented approach. Conclusions: The novel SimSearch method provides innovative support for effective genome-wide pattern search and visualization; its relevance and practical usefulness is demonstrated through a number of significant use cases of biological interest. The SimSearch IGB plugin, documentation, and code are freely available at https://deibgeco.github.io/simsearch-app/ and https://github.com/DEIB-GECO/simsearch-app/

Advanced analysis in a genome browser: molecular interactions and pattern similarity search.

Biologists generally interrogate genomics data using web-based genome browsers that have limited analytical<br>potential. New generation genome browsers such as the Integrated Genome Browser (IGB) have largely<br>overcome this limitation and allow customized analysis to be implemented with plugins. We extend the<br>functionality of IGB with two plugins, which allow to integrate molecular, network and structure biology, and<br>to perform advanced pattern search on the genome browser tracks