Babelomics is an integrated web-based suite of tools for the analysis of genomic data. It includes methods for high throughput data preprocessing, normalization, clustering, differential gene expression and class prediction. Babelomics also implements a complete suite of web tools for advanced functional profiling of transcriptomic, proteomic and genomic experiments. You can find here tools for functional enrichment analysis of pre-selected sets of genes, such as FatiGO or GSA methods. Babelomics allows for the automatic annotation of high throughput sequences via Blast2GO and includes many interesting utilities like its ID converter.
In this site you can find tutorials, worked examples, exercises, publications, news and much more Babelomics' related information.
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Some rationale about the name…
This resource is named after the tale The Babel library, by the famous Argentinean writer Jorge Luis Borges. In the tale an infinite library is described:
“The universe (which others call the Library) is composed of an indefinite and perhaps infinite number of hexagonal galleries…
There are five shelves for each of the hexagon's walls; each shelf contains thirty-five books of uniform format; each book is of four hundred and ten pages; each page, of forty lines, each line, of some eighty letters which are black in color.”
Such infinite library would contain any possible book, but also infinite non-sense combinations of letters. Finding the real books among the pile of meaningless texts is an excellent metaphor of the challenge that constitutes the extraction information out of the flood of data in the post-genomic era. Babelomics offers different procedures to manage, analyze and interpret genomic data within the proper statistical frame.