Are you ready for "in litero" drug discovery?

Latest developments in the field of genomics, proteomics and research in general have begun to unravel the most mysterious form of cell multiplication and invasion underlying the etiology of cancer by illuminating differences between tumors and normal tissue. Unfortunately, majority of this knowledge sits stagnant in publications and remains massively underutilized by the cancer research community. Reverse informatics has made an initiative in cancerinformatics, understands the needs of the clients’ and brings solutions in the areas of their interest--- transforming unstructured cancer knowledge hidden in the scientific literature into structured data that can be integrated with the researchers’ own knowledge.

Taking ‘Omics to the next level

Advances in sequencing technologies and inroads into personalized medicine have facilitated next generation sequencing of tumor samples, augmenting reported clinical data. The ever growing data needs to be harvested in a central repository to attain the needed advancement in the field of cancer diagnostics and therapy. We have processes to identify essentially all of the genomic changes within a cell and use the generated knowledge to rework the landscape of cancer research, from basic science to prevention, diagnosis, and therapy.

Literature is filled with billions of pages of useful information


Sustained financial backing for cancer research over the past decade has led to an explosion of publications relating to cancer. The number of journal articles and patents for various cancers, including the four most common: breast, colorectal, lung and prostate, has been increasing steadily year after year. An analysis of these publications reveals an astonishingly diverse set of investigations into cancer. While some of these publications focus on how the cancer cells survive and grow by looking at their DNA repair mechanisms, others talk about investigations into tumor immunology and tumor microenvironment. Still others look into varying facets of tumor progression like angiogenesis, invasion and metastasis. The publications contain an exponentially growing body of knowledge about tumor biology that is waiting to be exploited for cancer management.

Connecting the Unconnected

The greatest challenge today is not the paucity of information, but finding an effective solution to tap the knowledge from scientific literature and high throughput sequencing experiments. This requires solutions that can simplify knowledge extraction without knowledge loss.


We are committed towards creating an environment that augments cancer research and helps in target validation for drug discovery. Reverse Informatics solutions offer the tools and methods to integrate all the different types of data and information emerging from cancer research available in primary literature as micro array data, GWAS studies, etc., and apply them systematically to improve understanding of cancer.


Reverse Informatics is an Army of Curators at War on Cancer!

Our Gene Variant database created for a major global player in genomic sequence analysis is one such solution in this direction. The information provided by gene variants (esp. SNP, single nucleotide polymorphism) minimizes sequencing of whole genome as most of the SNPs are associated to disease development, differential drug response and require less sample size for clinical trial as they are confined to a particular population. An integrated analysis of multidimensional data will reveal markers that enhance existing clinical approaches to diagnosis, prognosis and treatment planning in cancer.


Our expert team of researchers with a strong scientific background in cell and molecular biology and an experience in mining and curating large data sets can assist you in creating customized solutions for your Cancer informatics needs. We can assist you in the development of centralized, integrated databases and build associated data-mining tools to help reveal molecular markers for commercial exploitation in the field of cancer diagnosis, prognosis and treatment.