The HPVbase is a first comprehensive web-based knowledgebase to provide highly curated clinical resource to research community for the effective analysis and assessment of viral and cellular cancer biomarkers. This integrated, multi-comparative platform could facilitate reliable cancer diagnostics and prognosis.

HPVbase is freely available at http://crdd.osdd.net/servers/hpvbase/

There are alternative potential biomarkers that could discriminate latent infection with high-grade precursor lesion and eventually cancer. Biomarkers pertinent to HPV mediated diseases are mainly viral DNA integration, viral methylation patterns, and cellular microRNA (miRNAs) expression. These are very crucial factors in cancer progression.

HPVbase provides you highly interactive ways to navigate website. It is well divided in different sections for individual biomarkers. User can browse, search and filter each component efficiently.
Additionally, HPVbase also provides user affable data searching and retrieval options. Two search tools are:
(a) Integration search
User can extensively search integration sites based on various keywords with exact or containing sub-options from number of provided fields including integration site, HPV type, chromosomal locations, cancer type etc.
(b) Advance search
This tool permits user to perform systematic search using combination of logical operators (OR/AND). It allows user to build a query using different combination of keywords to narrow down search.

Users can click on color-coded particular mapped sites and locus in browser to explore detailed knowledge regarding clinical and histological conditions. A new window will display complete information about specific feature. Data is also represented in user-friendly tabular format. You can find distinct informative fields.

It mainly includes diverse knowledge of viral host integration sites, methylation sites, miRNAs aberrant expression profiles, chromosomal coordinates, host genomic location, target genes, fragile site information, specimen or sample type, cell lines, sample size, cancer types, cancer histology, detection techniques, accession number, references.