DiseaseLand is a disease genomics database and visualization software that helps users explore public and private genomics datasets using its "Land” technology, allowing researches to more readily power their research. DiseaseLand focuses on datasets of common genetic disease including but not limited to immunological diseases, metabolic diseases and cardiovascular diseases.
DISEASELAND: UTILIZING PUBLIC GENOMICS DATASETS FOR GENETIC DISEASE RESEARCH
Incorporating Publicly Available Genomic data for genetic disease
DiseaseLand is a genomics database and visualization software that helps users explore public and private genomics datasets using its "Land” technology, allowing researches to more readily power their research. DiseaseLand focuses on datasets of common genetic disease including but not limited to immunological diseases, neurological disorders, metabolic diseases and cardiovascular diseases. It is an upgrade offering for ImmunoLand and CVMLand, Omicsoft's previous Land products.
DiseaseLand offers the potential to look at gene expression, all processed through the same pipeline, across many different projects, offering additional value, including exon level expression and alternative splicing calculations.
•Comprehensive: Sample-centric and comparison-centric view of genomics data and clinical data from multiple platforms
•Controlled: Standardized pipeline to process data and controlled vocabulary for clinical data
•Integrated: Integration with internal private datasets and across public datasets
•Secured: Trusted by increasing number of users from major pharma and biotech companies
•Coronary artery disease
•Chronic pulmonary diseas
• D iabetes mellitus
•Islet autoantibody positive
•Lipid metabolism disorder
•IBD (Ulcerative Colitis, Crohn’s diseases)
•Psoriasis and other skin diseases
•Infectious diseases and vaccine
•Respiratory tract diseases
RNA-SEQ, Gene Expression Microarrays, More...
Users can add their own collection of data into the database, and it is all hosted at the customer's site for complete data privacy. Data has carefully curated and incorporated from GEO (Gene Expression Omnibus), SRA (Sequence Read Archive), ArrayExpress, and more.
SINGLE CELL LAND
Advances in single-cell sequencing approaches enable Omicsoft to study differences between cell types and subpopulations, at the level of the genome, transcriptome and epigenome. Single-cell technologies are used to study diverse areas of biology and disease, such as development, microbial population composition, and cancer evolution. In mid-2016, we released a Single Cell Collection, focusing on single cell projects published in the GEO repository.
Gene Set Analysis is a powerful tool to help users who have their own gene signatures and would like to identify comparisons containing similar gene set enrichment from both tens of thousands of comparisons in the Lands as well as customer gene sets for on-premises customers.