Genome Explorer®

An NGS data analysis suite designed for catering
to the needs of today’s biomedical, clinical and agricultural research communities

Genomic big-data engine

Embracing the latest and sophisticated big-data solutions on cloud environment, Genome Explorer is a knowledge driven analytics engine to support precision medicine with reliable and realistic outcomes

Tailor-made workflows

Customized objective-driven workflows and pipelines supporting all major NGS technologies. A pick and mix facility to expand your choice of analysis routines and integration of data from different sources

Fluid User Interface

Built on the latest UI & UX philosophy, the product demands zero computing expertise. The point-and-click interface favors seamless navigation between projects, screens, reports and workflows

Advanced technologies

Incorporating evolving and emerging technologies to provide ultra-fast yet accurate results. Efficient use of graphics to generate rich and intuitive reports with advanced clinical utility and broad range compatibility

Integrated Genomics Resources

A functional genomics resource suite integrated with genomic, exomic, transcriptomic, and proteomic data that empowers NGS research.

EuSplice AspAlt ExDom RoBuST µBase

A large splice-centric curated data collection for visualization and analysis of splicing and alternative splicing events

Largest collection of alternative transcription and alternative splicing data currently available

A holistic database for comparative analysis of the exon–intron structures of protein domains in eukaryotes

A one-stop shop for integrated analysis of root and bulb genomics data empowering Agri-Genomics research

Dynamic platform to analyze disease causing mutations

  • Analyze gene-transcript-protein data with user-centric graphical tools
  • Explore functional roles and disease associations in splicing datasets
  • Compare gene/transcript features, splice signals, AS patterns among different organisms
  • Identify splicing patterns in DNA sequences using SpliceMatch and SpliceBlast pubmed/17344236

  • Color-coded revealing display format
  • Fast analysis of AT-AS variations for gene lists
  • Workflows streamlining the downstream AT-AS data analysis
  • Identifies Inter-database (RefSeq, Ensembl, Aceview) variations in AT-AS annotations for target gene
  • Compares AT-AS patterns in target gene against 94,144 genes
  • Submit your own gene lists – explore AT-AS patterns varying among genes
  • Differentially expressed AT-AS patterns in a disease state pubmed/19285128

  • Comprehensive graphical display with simultaneous viewing of domains and gene structure details
  • Displays change patterns in domain architecture in target protein post alternative-splicing
  • Demonstrates how 3D structure of protein domains influence the exon-intron structures
  • Analyze sequence variations among common domains in different proteins
  • Investigates inter-genomic variations in exon-intron domain structures articles/PMC2686582/

  • Graphical tool for analysis and visualization of sequence data
  • Access to traits, biosynthetic pathways, and molecular taxonomy data
  • Comparative analysis of genetic linkage maps
  • 17 naïve trait terms accepted by Plant Ontology Consortium 1471-2229/10/161

  • Display Mutation information with unique user- friendly graphical tool
  • Mutation classification
  • Predict effect of mutation on the gene
  • Links to EuSplice, ExDom and AspAlt for other annotation information

Biologist-centric analytics, visualizations and personalized genomics services catering to the clinical, agriculture and pharma industries


  • Next Generation Sequencing

    Consultation and delivery of optimized sequencing solutions that meet the specific needs of a particular project are the foundation of our NGS team. We offer services using all Illumina (MiSeq, HiSeq) and Sanger platforms for a long read length or high depth of coverage

  • Bioinformatics

    In addition to classical bioinformatics work of curating data, building databases and developing custom scripts for mining valuable knowledge from biological data, we also perform NGS data analysis for using sequencing as a hypothesis generation tool

  • Big Data Analysis

    Our expertise in scientific computing and access to high-performance computing resources enable us to exploit the big data space and support professionals working in clinical, translational and basic science domains. We are constantly advancing large volume data transfer and file compression.

  • Product Development

    Working with clients from a wide range of conventional and futuristic market areas, our multidisciplinary team understands the demands of product lifecycles and time-to-market constraints. Our approach is tailored to meet specific expectations through practically feasible solutions.

About Us

Genome International Corporation (GIC) is a research-driven firm providing innovative bioinformatics products and custom research solutions for corporate, government, and academic laboratories in biomedical sciences. Our scientists and engineers are passionate about delivering high quality yet cost effective products and services by innovating advances in bioinformatics and information technologies to optimize the management, analysis and mining of high-throughput molecular biology data.


To accelerate discovery in the fields of genomic medicine by innovating cutting edge algorithms and technologies in genomics, bioinformatics and information technology.


GIC’s passion is advancement in biomedicine and agriculture through fundamental genomics and proteomics research. We continually advance our understanding of the structure and function of genomes and proteomes using our multi-disciplinary research experience. We tackle complex research projects, with robust design and implementation, and employ state-of-the-art hardware and software products. We develop comprehensive research solutions for your problems at any level of complexity within a short time frame.

Genome International carries out custom curation of biological databases, including genomic, proteomic, metabolomic and disease genetics, where sophisticated research is required. Each project is fit to the specific need of the customer, and delivered with tools and ability to produce reports that are highly useful to scientists and executives in a variety of ways including further planning, publications and presentations.

The discovery of disease-causing genes has been a gargantuan task especially for major illnesses due to the complex involvement of multiple defective genes. Our Functional Genomic Fingerprinting (FGF) Technology is a powerful alternative to current techniques for discovering these genes. By analyzing only the 1% functional regions of the genome within which these mutations occur, we avoid the remaining 99% of the genome. This maximizes efficiency allowing easy identification of defective genes that cause disease. This ability to efficiently find genetic defects has numerous powerful applications in biomedical, pharmaceutical & agricultural industries.

Splicing related mutations cause an estimated 50% of human genetic diseases. Analysis of these mutations, cryptic splice sites created by them and the resulting alternative splicing allow critical insights necessary for the advancement of research. GIC has developed a novel algorithm for exploring the effects of splice mutations and polymorphisms in cancer.

In addition to its normal functions in creating protein diversity, alternative splicing can lead to defective proteins that cause a wide variety of diseases. GIC is currently developing a suite of proprietary splicing related data analysis tools to explore the normal and disease states by gene expression variations caused by alternative splicing.

GIC has developed a unique methodology for miRNA discovery and validation using the Functional Genome Fingerprinting (FGF) technology. MicroRNA profiling and fingerprinting using this technology will have immense applications in the identification of specific signatures associated with diagnosis, prognosis and response to treatment of human tumors.

GIC, in collaboration with University of Wisconsin’s Horticulture Department, has developed an orphan crop database for analyzing genomic, genetic and breeding data of a number of horticultural crops. This unique bioinformatics resource has the following features: (1) provides integrated access to all available sequence annotations, genetic maps, markers and other information from orphan plant families (2) has extensive data analysis tools to explore the data, and (3) allows comparative analysis of data from these plants to facilitate research advancements.

Contact us

8000 Excelsior Drive Ste.
202 Madison,
Wisconsin 53717